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R&D NESTER RECOGNIZED FOR ITS WORK ON FLEXIBILITY AND ENERGY COMMUNITIES
FleXunity Project won the ISGAN Award of Excellence 2023,
this year recognizing excellence in AI for Smart Grids.
R&D Nester led the work on balancing markets
in FleXunity Project.
9th edition of ISGAN Awards of Excellence is sponsored
by the International Smart Grid Action Network (ISGAN) in
partnership with the Global Smart Energy Federation (GSEF).
These awards recognize excellence in innovation,
integration, and transformation of smart grid systems and policy.
The award attributed to the FleXunity project
was received by the project coordinator, Cleanwatts, at the 14th CEM - Clean Energy
Ministerial conference that was held in Goa, India, in July.
FleXunity project started in December 2019 and ended last
month of May. Its main objective was to deploy novel services for managing
energy communities and their integration in the electric power system,
including their participation in the energy and ancillary services markets,
enhanced by Virtual Power Plant (VPP) technology empowered
with AI algorithms focused on optimizing the use of
distributed renewables from the utility or community portfolio.
The innovative services developed in this project will
enable new business models from managing multiple energy flexibility assets,
enhancing the use of renewables and support energy security and climate change
challenges.
This project has received funding from the European
Union's Horizon 2020 research and innovation programme under grant agreement No
870146.
More information:
 
FleXunity
project website
FleXunity Project @ R&D Nester website
FleXunity Project LinkedIn Page
CEM14 website |
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ONENET GENERAL ASSEMBLY - THE LAST YEAR OF THE PROJECT
The
General Assembly of OneNet Project was hosted by the Florence
School of Regulation (EUI) in Florence, Italy. 
OneNet (One Network for Europe) - "TSO-DSO-Consumer:
Large-scale demonstrations of innovative grid services through demand response,
storage and small-scale (RES) generation" is a unprecedented project
being the largest project founded by Horizon 2020 in the topic of integration
and cooperation TSO-DSO-Consumer, involving 70 partners from different
countries, of which REN and R&D Nester are
part.
The purpose of this project is to create a fully
replicable and scalable architecture that allows the entire European electrical
system to function as a unique system in which a variety of markets enable the
universal participation of different stakeholders, regardless of their physical
location - at all levels, from small consumers to large producers. This project
lasts for 3 years and half (October 2020 to March 2024).
The meeting had 65 members of OneNet Project meeting
in person in Florence, and 40 more joining online.
During 2 days meeting were discussed the achievements
and complications from all the Work Packages (WPs), focusing mainly into the
horizontal WPs and the missing inputs required from the demo pilots.
R&D Nester made part of the
presentation related with the Western Cluster demo, where its developments
related with the flexibility and operational planning use cases were announced
to the audience.
The ONENET
general assembly was also a great moment to cooperate actively and provide
feedback to the colleagues responsible for the development of the ONENET
Connector, that is the crucial element of the system that allows the connection
of multiple stakeholders to an unique system in which a variety of markets
enable their universal participation.
More information:
OneNet
website
OneNet project video
OneNet Project @ R&D Nester website
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FLOATING WIND ENERGY SOLUTIONS – FINAL RESULTS OF THE ARCWIND PROJECT
The final workshop and meeting of ARCWIND project
was hosted by IST - Instituto Superior Técnico, in Lisbon.
ARCWIND Project - Adaptation and implementation of floating
wind energy conversion technology for the Atlantic region, financed by INTERREG
Atlantic Area, aims to contribute to drive the floating wind energy
forward such that it can become a major contributor of green energy in the
Atlantic Area. The project has contributed with developments in four concepts
of floating wind turbines, the identification of possible locations for
economically viable wind farms and the design of some wind farms, hoping that
these studies can provide investors and funding agencies technical support for
decisions.
This workshop was an opportunity to present the major
achievements of the project. The
following topics were presented:
- Presentation of the multicriteria methods developed to
identify feasible areas for farm locations in the Atlantic Area
implemented in a GIS system;
- Presentation of the four platforms adapted for a 10 MW
turbine and tested in hydrodynamic laboratories, with the comparison of the
numerical models with the experimental results;
- Presentation of the design of the farms in the Atlantic Area based on four floating wind
turbine platforms;
- Presentation of the moorings designed for selected
farms and the corresponding installation;
- Presentation of maintenance aspects that can be
applied to offshore wind farms;
- Presentation of the study of the economic feasibility
of the FOW farms in the selected areas.
The welcome and opening of this final event was
made by the Professor Carlos Guedes Soares, from Instituto
Superior Técnico, Project Leader of ARCWIND project, who presented
the project overview.
One of the main novelties introduced by the project is
not only the study of four different designs of floating wind farms, but also
an innovative approach to determining the location of the wind farms based on
the satellite images, estimating the wind speed and direction, and innovative
mooring and installation logistics.
R&D Nester, as a part of the WP7, related to array
design, installation logistics and maintenance planning, contributed to study
of the impact in the electric grid, in order to analyze the effects of the
offshore wind farm in the connection point, taking into consideration the wind
farm's output characteristics (load profile) and based on real network data, using
a nodal capacity calculation tool.
During the presentation discussing the maintenance
planning of offshore wind arrays, the aspects of wind farm connection were
presented by WP Leader, highlighting the maximum installed capacities of the
wind farms in six specific areas identified within the project scope.
The ARCWIND project, financed by INTERREG
Atlantic Area, aims to contribute to the development of floating wind
solutions. Different areas of knowledge are addressed, including the analysis
of potential of wind resource, design and testing of prototypes of floating
wind platforms, network impact and economic viability studies.
More information:
 ARCWIND
Project @ R&D Nester website
Arcwind
project website |
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2023 INNOGRID “BETWEEN URGENCY AND ENERGY TRANSITION: GETTING THE BALANCE RIGHT”
InnoGrid, organized by the European Distribution System
Operators' Association (E.DSO) and the European Network of Transmission System
Operators (ENTSO-E), was held last June in Brussels, Belgium. Sessions took
place on 9 and 14 June.
This is an annual event for the last 12 years
that approaches the European innovation in power networks.
This year's conference theme was "Between
urgency and energy transition: Getting the balance right". Basically,
this topic was debated focusing on 2 questions: - How to advance on the energy transition while dealing
with the energy crisis?
- How to speed up the development and uptake of new
technology solutions to meet the 2030 climate objectives and at the same time
coping with energy emergency measures?
Key pillars on the discussion were Electrification,
Digitalization and Cooperation. It was reinforced that "grids" are
urgently needed to fulfill the EU Green Deal, the FitFor55 ambitions and the
REPowerEU initiative.
The identified trilemma is still the same: a reliable,
sustainable and affordable energy system!
This edition reinforce that innovations continue to be
needed at all levels, from the consumers premises to the control centers.
Implementation is the key word, as is removing the
barriers that delay deployment of emerging solutions.
In summary, it became evident the urgent need for
implementation of all type of efficient proven solutions, in a short timeframe
and at a minimized cost.
For more information:
https://www.innogrid.eu/ |
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BIG DATA FOR NEW GENERATION ENERGY – BD4NRG GATHER IN RIGA
BD4NRG Project
("Big Data for New Generation
Energy") had its plenary meeting in July, hosted in Riga,
Latvia.
R&D Nester and REN integrate
the project BD4NRG - "Big Data for New Generation Energy" under
the EU funded H2020 program. This project lasts for 3 years (January 2021 to
December 2023).
The main goal of BD4NRG is to address
big data management and decision-making challenges in the energy sector using
state-of-the art data science and Artificial Intelligence techniques. This
project will therefore unlock new solutions for this sector which have never
been explored in the past, giving energy stakeholders the opportunity to
improve their operations and economic returns.
From a technical standpoint, the BD4NRG ecosystem will
make available a set of distributed data services, including big data
processing and analytics tools as well as Machine Learning and other AI based
models.
The technical solutions developed in the project will
be validated through 12 large scale pilots across 10 countries. R&D Nester, along with REN, is
contributing with one of such pilots, focusing on the application of AI
solutions to condition based monitoring and predictive maintenance for two
classes of transmission system assets: overhead lines and circuit breakers.
Currently,
R&D Nester and REN are working
in the development of the required algorithms to execute these data related
pilots.
The primary objective of the 5th Plenary
Meeting in Riga was to ensure that each LSP (large-scale pilot) was progressing
according to the pilot project schedule, and that follow-up action was taken in
the case of any deviation from the defined objectives. Pilot project partners
were invited to present the progress of each LSP. The current status of
the LSP projects was discussed, as well as the steps necessary to reach the
final evaluation cycle and expected results. Partners were encouraged to work
closely together to overcome potential obstacles and thereby ensuring the
success of the pilot project as a whole.
The R&D Nester presentation
focused on two use cases related to LSP1 (Integrating off-grid Data with
Condition based Monitoring for Enhanced Predictive Asset Maintenance).
- The first use case concerns the development of a
condition-based monitoring approach for circuit breakers using historical data
from incident reports. The purpose is to assess the operational conditions of
circuit breakers and identify potential correlations between faults and
external causes.
- The second use case involves generating a
semi-automatic maintenance plan for overhead lines using historical LiDAR data
obtained from right-of-way corridors and transmission towers.
The development status of these two use cases was
thoroughly discussed. The successful integration of the services into the
projects was highlighted, and the availability of simulated data for validation
was appreciated. The presentation demonstrated R&D Nester's
commitment to data-driven solutions for the predictive maintenance of critical
energy assets, and highlighted the importance of these use cases for the
advancement of their technological capabilities.
  
More information:
 BD4NRG Website
BD4NRG
Project @ R&D Nester website |
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BD4-NET WORKSHOP "INCREASING THE EFFICIENCY AND RELIABILITY OF THE ELECTRICITY NETWORK"
BD4NRG project workshop "INCREASING THE
EFFICIENCY AND RELIABILITY OF THE ELECTRICITY NETWORK", was held online last
December.
The ability to analyse and manage vast
volumes of data is increasingly important in order to improve operational
efficiency and the reliability of the electricity network.
Predictive analytics
use the massive amounts of data available today and to inform realtime
decisions that have a significantly positive impact on reliability and
performance. In particular, predictive analytics provide early warning of
equipment failure and abnormal operating conditions that may go unnoticed
within the realm of traditional maintenance practices. Therefore, it can be used to minimize
outages as well as improve equipment reliability and performance while avoiding
potential failures.
The proposed "BD-4-NET" Large Scale Pilots (LSP)
focus on predictive analytics that can forecast and increasing the efficiency
and reliability of the electricity network.
During the workshop, R&D
Nester presented the developments and results of the Large Scale Pilot
named "Integrating off-grid Data with Condition-based Monitoring for
Enhanced Predictive Asset Maintenance", developed in collaboration with REN and UNINOVA.
More information about this workshop here.
BD4NRG Website
BD4NRG Project @ R&D Nester
website |
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R&D NESTER PRESENTED RESULTS OF THE PORTUGUESE PILOT FOCUSED ON AI FOR SUPPORT TO THE ELECTRIC SYSTEM MANAGEMENT (H2020 I-NERGY PROJECT)
On the 20th and 21st of September 2023, R&D Nester attended the 5th I-NERGY (Artificial Intelligence for Next Generation Energy) plenary meeting, held in Riga, Latvia. The assembly, which was the first physical plenary meeting of the European project, aimed to presents the main results of the demonstration pilots and of the other projects' components before the end of the project, foreseen in December 2023.
I-NERGY is an EU funded project aiming to support, develop and demonstrate innovative AI-as-a-Service (AIaaS) Energy Analytics Applications and Digital Twins services validated along 9 pilots across 8 countries. The services focus on three different sectors: Energy Commodity Networks (in which R&D Nester is involved), Distributed Energy Resources, and Energy Efficiency. The large geographical coverage of the demo sites, illustrated in the figure below, aims to support the EU-wide replicability and market take-up of AI-driven solutions in different socio-economical contexts to maximize the impact of I-NERGY services across Europe. I-NERGY pilot's approach permits to comprehensively test the analytics devised to cover the initially detected interests of relevant Electrical Power & Energy Systems (EPES) stakeholders within the energy value chain, covering their whole energy market: from the operation and maintenance to the society, as well as cross-cutting interests, such as policy making and research.
Under the scope of the project, R&D Nester has implemented a demonstration pilot in Portugal, focusing on the two following Use Cases (UCs):
UC1: AI for enhanced network assets predictive maintenance, integrating off-grid data with condition-based Monitoring;
UC2: AI for network loads and demand forecasting towards efficient operational planning.
UC1 AI for enhanced network assets predictive maintenance, integrating off-grid condition-bases Monitoring On top of presenting the current progress and results for both use cases, the meeting in Riga was an opportunity to showcase a live demo of one of the services developed for UC1, namely the Circuit Breaker Asset Management. Nicolò Italiano, an energy systems research engineer from R&D Nester, pitched a step-by-step demonstration on the functioning of the service, which is currently available as web-based application on the AIoD Catalogue, at the following LINK. 
The service, which can be tested after requesting the credentials to R&D Nester, features a fully automated fault data processing, analysis, reporting system, and circuit breakers' Remaining Useful Life (RUL) estimation, for events occurring in any electrical system. Specifically, it includes the following submodules, depicted in the workflow below:
- Fault detection, which leverages signal processing techniques to detect whether an event is a fault or not;
- Fault classification, identifying the type of fault occurred (e.g. single-phase-to-ground, three-phase-to-ground), using Machine Learning (ML);
- Incident reporting, which extracts incident statistics that are key to assets management divisions of system operators;
- RUL prediction, predicting the Remaining Useful Life of a given circuit breaker, leveraging failure probability functions fitted on historical dataset of the events occurred, and identifying the corresponding maintenance recommendation.
Moreover, the service proposes an automatic and prompt visualization of the events processed, plotting all current's and voltage's signals segmented into the different phases characterising the faults, as per the graph below. Finally, the web-based application includes an asset management database, in which all processed faults are stored and grouped by assets.
The database leverages a traffic light label system for fast and easy-to-read visualization of assets' status, with the colour depending on the predicted failure probability. 
UC2 AI for network loads and demand forecasting towards efficient operational planning The second use case is considering the forecasting of the Portuguese national load and of the net load of a specific TSO/DSO interface for the day-ahead operational planning. The most recent results presented in Riga concerns the Net Load Forecasting Model, applied to a specific case in which the net load is subject to a substantial change in the time-series pattern, occurring within a short timeframe.
This is commonly referred as concept drift, and is illustrated below:
Concept drift observed in the net load (y-axis), during a given time-period (x-axis) Such events may occur for different reasons, among which, for instance, the installation of a new Photovoltaic (PV) power plant at the distribution level, self-consumption or Electric Vehicles (EV) chargers, in large-scale, or the connection of a new large-scale consumer. The first case could even lead to reverse power flows, represented by the negative values in the figure, which may be quite challenging to predict by a model that has always been trained exclusively upon positive values. For this reason, it is critical to develop and use models that, in addition to feature high forecast accuracy, are also able to adapt to new patterns and changes in the data. Under the scope of I-NERGY, the three approaches listed below have been considered: - Long Short-Term Memory neural network-based model (LSTM);
- Ensemble models (XGB, DT, Lasso, SVR) based on Iterative Learning;
- Adaptive Random Forest based on incremental learning (Adaptive RF).
The three models were at first trained upon a large dataset that included significant drifts (Scenario 1), and then trained on a smaller dataset prior to the occurrence of the drifts (Scenario 2), with the aim to study the difference of the performance between the two cases. The second scenario was designed to analyse how the models react to new patterns and changes in the data that are not experienced during the training. The scenarios considered the same test dataset, which included one year that was not used for training the models.
The results showed that the Adaptive RF is the model that better adapts to the concept drifts, maintaining Normalised Root Mean Squared Error (NRMSE) of 8.6%, for both scenarios. The NRMSE corresponds to the ratio of the root mean squared error to the maximum of the absolute values within the test dataset. On the other hand, the ensemble model presents the worst performance, with an NRMSE of 9.1% in Scenario 1 and 14.1% in Scenario 2. The performance's drop from the first to the second scenario of the ensemble model indicates that it does not adapt well to new patterns unseen in the training dataset, contrary to the Adaptive RF. These results, described in detail in the scientific paper "Short term net load forecasting using computational intelligence techniques" presented at the 7th E-Mobility Power System Integration Symposium, in Copenhagen, highlights the importance of using adaptive forecasting techniques when facing net load time-series characterised by several concept drifts. The figures below depicts the forecasting results of the three different models compared with the actual net load, for Scenario 1 and 2, respectively, and for a given timespan. Once again, it is possible to observe the Adaptive RF (in blue) is the model that better follows the actual net load patterns, especially for the second scenario. 
Forecasting Results of Scenario 1
Forecasting Results of Scenario 2
For a full discussion on the results, please refer to "Laouali I., et al, SHORT TERM NET LOAD FORECASTING USING COMPUTATIONAL INTELLIGENCE TECHNIQUES, 7th E-Mobility Power System Integration Symposium, 2023", in which the dataset is described in detail, as well as the techniques used to prevent overfitting and the additional evaluation metrics considered. For more information: 
I-NERGY Project @ R&D Nester website I-NERGY Project website |
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I-NERGY'S 2ND TECHNOLOGY TRANSFER PROGRAMME FINAL EVENT
I-NERGY's 2nd Technology Transfer Programme Final Event went
Virtual last November.
I-NERGY, an EU funded innovation project around Artificial
Intelligence for Next Generation Energy had the highly anticipated 2nd
Technology Transfer Programme Final Event, held online, last November 21, 2023.
This engaging event
ran for two and a half hours, featuring presentations from the champions of the
2nd open call who will showcase their projects in a concise 7-minute pitch.
Key event highlights included: - Project
Showcases: The champions of the 2nd open call took "center online
stage", offering a brief but insightful 7-minute pitch about their
innovative projects. Attendees will gained firsthand knowledge about
groundbreaking technologies and solutions poised to shape the future of
energy.
- Networking Opportunities:
Participants had the chance to engage with like-minded individuals at the
Q&A, fostering collaborations and partnerships in the pursuit of
sustainable energy solutions.
More information about
the project:
I-NERGY
Project @ R&D Nester website
I-NERGY Project website
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R&D NESTER PRESENTED SHORT TERM NET LOAD FORECASTING TOOL AT RENEWABLE ENERGY GRID INTEGRATION WEEK
R&D Nester was present in
the 7th E-Mobility Power System Integration
Symposium held in Copenhagen, Denmark, on 25 September 2023.
The Renewable Energy
Grid Integration Week, organized by the German energy consulting company
Energynautics GmbH, provides an international forum to discuss project
experiences, innovative ideas, and present results from ongoing research. It
aims to stimulate interdisciplinary thinking between
wind/solar/hydrogen/e-mobility energy and power transmission industries as well
as universities and to identify subjects requiring more research efforts.
Benefits include the high technical level in considering challenges, solutions
and trends and combining international project experience with networking
between industry and academia. Presentations are held by invited speakers from
companies and leading research institutes as well as by workshop participants
selected through a call for papers.
In this 7th edition, R&D
Nester presented a paper titled "Short Term Net Load
Forecasting Using Computational Intelligence Techniques".
The content of the
paper presented was produced as part of R&D Nester's participation in
the I-NERGY project founded by the European programme H2020.
This initiative gathers 17 partners with the aim of supporting and developing
new AI-based energy services and enhancing the service layer of the European AI
on-demand platform (ai4europe.eu) in the energy sector.
The paper evaluates
several forecasting methods, including an adaptive random forest method based
on incremental learning incorporating a drift detector, a method based on a
recurrent neural network using long short-term memory (LSTM), and a method
based on an ensemble of models including decision trees (DT), support vector
machines (SVM), extreme gradient boosting algorithms (XGBoost), and Lasso
regressions.
The experiment was conducted using the net load data collected at
the TSO-DSO interface in Portugal, where concept drift can be observed,
possibly due to increasing integration of distributed energy resources behind
the meter.
A series of
experiments were conducted, exploring various scenarios, and an in-depth
comparative analysis was then carried out.
For more information:
Renewable Energy Grid
Integration Week website
I-NERGY Project website
I-NERGY
Project @ R&D Nester website |
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BEHAVIOUR OF PROTECTION FUNCTIONS UNDER HIGH PENETRATION OF RENEWABLES – SIMULATION MODEL DEVELOPED BY R&D NESTER
R&D Nester project "Prot4hiRES - Analysis of the impact of the
high penetration of renewable sources on the performance of protection systems
for transmission grids" studies the
potential negative impact of the high penetration of renewable sources
in transmission grids on the performance of protection systems for these
infrastructures, as these protections have been designed for grids supplied by
conventional power stations, where synchronous generators are used.
However, renewable sources use generators with interfaces based on power
electronics, which characteristics differ from those of synchronous generators.
This project is being
developed by R&D Nester in cooperation with China
Electric Power Research Institute (CEPRI) and it aims to identify the
potential problems resulting from the introduction of renewable sources on the
protection functions and, using laboratory simulation, determine what
changes are necessary to the current philosophies of parameterization and
coordination of those functions. The final result will be a detailed
specification for protection systems for transmission grids with a high
penetration of renewable sources.
In the scope of the
developed work, R&D Nester Team already presented some results. The latest
Paper produced in the scope of this project details the development of a
simulation model of a Type IV wind turbine generator compliant with the
requirements of the Portuguese Grid Code. For the validation of the model, it was introduced in a
portion of a transmission grid where faults were simulated at the point of
connection. This allowed to obtain measurements of current and voltage
which were later compared to well-known methodologies of protection functions,
namely, overcurrent and distance. Results show that current contributions from
RES are considerably lower during faults as compared to traditional
synchronous generators. It was also verified that the type of generator does
not seem to affect distance protection behavior.
This paper
entitled "Assessment of potential problems on the behavior of
protection functions due to the massive integration of wind sources in
transmission networks" was presented at the 22nd edition
of Wind & Solar Power System Integration Workshop, which was held
last September in Copenhagen, Denmark.
The Wind & Solar
Power System Integration Workshop provides an international forum to discuss
project experiences, innovative ideas, and present results from ongoing
research. It aims to stimulate interdisciplinary thinking between
wind/solar/hydrogen energy and power transmission industries as well as
universities and to identify subjects requiring more research efforts. Benefits
include the high technical level in considering challenges, solutions and
trends and combining international project experience with networking between
industry and academia. Presentations are held by invited speakers from
companies and leading research institutes as well as by workshop participants
selected through a call for papers.
For more information:
Prot4HiRES Project @ R&D Nester website
2023 Wind & Solar Integration Workshop
website
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DEPLOYMENT AND SIZING OF EV CHARGING STATIONS CLUSTERS
R&D Nester project "FEVER
- Analysis on the distribution side planning of distributed EVCS, RES and
BESS" aims to study the direct impact and the associated
challenges that distribution grids are facing with the integration of EVs
and EV Charging Stations (EVCS). The research topics include an analysis on the
EV infrastructure development, integrating both distributed renewable energy
resources and battery energy storage systems (BESS), from the distribution
network perspective.
This project is
developed by R&D Nester in cooperation with China
Electric Power Research Institute (CEPRI).
This project already
developed a methodology for the determination of the location and dimensioning
for a cluster containing Electric Vehicle Charging Stations (EVCS), Renewable
Energy Sources (RES) and Battery Energy Storage System (BESS). The
methodology aims to optimize system security from the network operator's point
of view, while also considering potential location preferences from the EVCS
promoter.
The siting process is
carried out using a Nodal Load Allocation algorithm, which iteratively
increases the load at each candidate bus to obtain the maximum admissible load.
The BESS is dimensioned using the Evolutionary Particle Swarm Optimization
(EPSO) method. In this paper the methodology and the tools were tested using
PandaPower and through the simulation of a medium voltage network from Simbench
dataset.
Similarly, the representative load and generation profiles used
for the analysis are obtained through the use of clustering techniques from the
whole year's net load from the Simbench dataset. The proposed methodology
provides an effective tool for the problem associated with the
determination of the location and dimensioning aggregated clusters of EVCS, RES
and BESS, which can help network operators to avoid overloads while maximizing
local renewable energy integration.
As a result of this
developed work, R&D Nester Team produced a paper
titled "Deployment and Sizing of EVCS Clusters with RES and BESS
from the Network Operator's Perspective".
This paper was
presented at IEEE PES ISGT Europe 2023 (ISGT Europe 2023) last
October, in Grenoble, France.
This conference was
organized by IEEE Power & Energy Society (PES) and Université Grenoble
Alpes, France and this year theme was "Powering solutions for
decarbonized and resilient future smartgrids".
The IEEE PES ISGT
Europe conference addresses power grid modernization and the applications for
the wide use of information and communication technologies for more intelligent
operation of electric power systems and integration of renewable and
distributed energy resources.
This conference always
feature keynotes, plenary sessions, panels, industry exhibits, paper and poster
presentations by worldwide experts on smart grid and related technologies.
Researchers, practitioners and students worldwide submit papers for
consideration to be presented at the conference and to discuss the latest
trends and emerging and innovative technologies for grid modernization.
For more information:
FEVER
Project @ R&D Nester website
IEEE ISGT Europe 2023
(ieee-isgt-europe.org) |
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REAL-TIME SIMULATION - R&D NESTER AS KEYNOTE SPEAKER AND TECHNICAL VISIT HOST IN RT23’S OPAL-RT EVENT
R&D Nester owns a
real-time power systems laboratory that is used in many of its national and
international projects that is based on OPAL-RT solutions for
real-time simulation.
OPAL-RT's 15th annual
conference on real-time simulation was held in Lisbon, from November 13th to
16th.
RT23 featured a range
of hands-on workshops, keynotes and technical sessions covering a wide range of
topics including power systems, energy conversion, eMobility, and more.
Recently R&D
Nester was the partner selected by OPAL-RT to
showcase its most recent Success Story with the title "HIL Simulation for the Substation of
the Future".
This nomination allows
to discover how R&D Nester is shaping the future of power systems
simulation and renewable energy management with the help of OPAL-RT's real-time
solutions. R&D Nester's Real-Time Power Systems Simulator (RTPSS) Laboratory is providing a unique
research and simulation infrastructure to analyze the behavior of different
components of power systems.
Within the scope of
this collaboration, and with the OPAL-RT event taking place
this year in Lisbon, R&D Nester was involved in this event's agenda.
Nuno Souza e Silva, Managing
Director of R&D Nester, was a keynote speaker on the 3rd day
of the event, with the presentation entitled "Real-Time power
systems simulation - current uses and future challenges".
 
The last day of the
event was dedicated to technical visits for the participants. R&D
Nester received over 100 visitors in its Laboratory. During these
visits, R&D Nester's team of researchers made presentations, demonstrations
and examples of how the Laboratory works.
 
 
These technical visits
allowed visitors to discover how R&D Nester is using OPAL-RT's
real-time solutions in several projects in areas such as smart grids, renewable
energy, energy markets, communication networks and interoperability. R&D
Nester's Real-Time Power Systems Simulators (RTPSS) Laboratory provides a unique
research and simulation infrastructure to analyze the behavior of different
components of power systems.
For more information:
RT23 - Real-Time Simulation Conference -
OPAL-RT
RT23-agenda-18.10.23.pdf
(opal-rt.com)
R&D Nester - LABORATORY (rdnester.com)
R&D
Nester - R&D Nester LABORATORY - Creating a Smart Energy Future (2016)
(rdnester.com)
RealTimePowerSystemsSimulationLaboratory
(rdnester.com) |
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R&D NESTER AT THE FOREFRONT OF TRANSFORMING ENERGY MANAGEMENT IN BUILDINGS
The European project WeForming is
at the forefront of transforming energy management in buildings, focusing on
seamless integration with the energy ecosystem. Through groundbreaking
solutions, this EU project addresses digital operation, management, and
maintenance, along with efficient and interactive energy processing for
Intelligent Grid-Forming Buildings (iGFBs).
WeForming - an
acronym for Buildings as Efficient Interoperable Formers of Clean
Energy Ecosystems - envisions a revolutionary approach to managing
energy, one in which buildings are strategic players in supporting and forming
the energy networks of the future. At the heart of WeForming's value
proposition are iGFBs, actively participating in an interoperable energy
ecosystem, including both energy networks and markets. These innovative
buildings are designed to seamlessly integrate various energy sources, such as
electrical, thermal, mechanical, and chemical energy. Their main goal is to
optimize efficiency and self-sufficiency while prioritizing occupants'
well-being, enhancing comfort, convenience and safety.
The ultimate mission of WeForming is to
establish iGFBs as integral elements in shaping a secure, resilient, and
carbon-free energy ecosystem. Over the next three years, the EU-funded project
will develop and demonstrate a new generation of iGFBs that leverage advanced
technologies and smart energy processing to innovate building energy
operations, involving all the participants in the energy building value chain
(consumers, aggregators, grid operators, etc.) in a common digital space. This
approach will lead to increased multidirectional data flows, with the creation
of new digital platforms and operational strategies. Artificial intelligence
and machine learning will be key to WeForming's framework, ensuring automation
and interactivity.
WeForming's methodology and digital
solutions will be implemented and validated in six real-life demos across six
countries. These use cases will target different systems, building types,
consumer needs, economic conditions and climates, providing a comprehensive
assessment and adaptability across different scenarios.
Comprising 30 partner entities from 10
countries, the WeForming project addresses the challenges of improving the
interoperability between energy carriers, creating new roles and business
models for buildings in energy markets, boosting buildings' physical
interaction with energy networks, and fostering awareness and acceptance of
iGFBs. This is a 3-year project starting in October 2023 and ending in
September 2026.
The kick-off meeting for this project took
place in Athens, Greece on the 17th and 18th of October, where R&D
Nester team was represented. At this project kick-off meeting, the
general context and administrative details were analyzed, including the
analytical work plan and task schedules, milestones and expected results of the
Working Packages.
R&D Nester is
responsible for the Working Package 6 "Evaluation and assessment,
replication and scalability potential" and has a strong
contribution in the Working Package 5 "WeForming Demonstration
across technologies and scenarios".
 
Last November, a visit was made to the
Portuguese Demonstrator Palácio do Gelo Shopping, in Viseu, a large
shopping center with internal generation and energy storage systems.
This visit, allowed the 3 partners
involved in the Portuguese Demonstrator, Movida, Builtrix and R&D Nester,
to define the work plan for the coming months of cooperation.
 
The WeForming project is an innovation
action funded by the European Union through the Horizon Europe Programme.
For more information:  WeForming Project website
WeForming LinkedIn
page
WeForming
project Twitter page
WeForming
Project @ R&D Nester website
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ENERGY DATA SPACES: CURRENT RESULTS OF THE EUROPEAN ENERSHARE PROJECT
The 4th Plenary Meeting of
the European-funded project Horizon Europe ENERSHARE was held
in beginning of October in Athens, Greece, hosted by one of the consortium partners,
the Greek University NTUA, at the Amalia Hotel Athens.
ENERSHARE main objective is to facilitate the sharing of
energy data. Since, in the energy sector, data sharing is lagging due to trust
and privacy concerns, ENERSHARE will develop a reference
architecture for a European Energy Data Space that combines cloud security
solutions with integrated digital security and global artificial intelligence
and data exchange architectures. It will carry out pilots and use cases. By
enhancing interoperability, establishing trust and increasing the value of data
building blocks, ENERSHARE will tailor solutions to the needs
of the energy sector.
The event held in October 2023 served to evaluate the status of the project,
focusing on the developments of the last 6 months. The meeting was kicked-off
by NTUA's Research Director Ntanos Christos, welcoming the Consortium and
opening the discussions. All partners presented their parts, namely:
- Overview of the project & progress
so far, by ENGINEERING (coordinator);
- Extended intra-energy and cross-sector
Data Space interoperability building blocks, by TECNALIA;
- Data and Services marketplaces for data
sharing value creation and energy compensation, by ENGINEERING;
- Cross-value chain AI-based data-driven
services, by INESC TEC;
- Data Space
and data sharing governance and business models, led and
presented by R&D Nester;
- ENERSHARE real-life
demonstration, by NTUA;
- Dissemination, communication and
exploitation, by FIWARE and ENGIE.
The main outcomes resulting from the
already published deliverables were presented, emphasizing the innovative
design of data sharing incentive mechanisms, the connector's status and the 1st
version of the MVP (Minimal Viable Product), as well as the different services
that will be explored within the project's data space.
Group
photo of the meeting with the ones attending physically
The meeting had also a couple of workshops
dedicated to the MVP demo, project reference architecture and technical
alignment and coordination led by TNO, RWTH and European Dynamics,
respectively.
For
more information:
ENERSHARE
website
ENERSHARE @ R&D Nester website |
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“DER AGGREGATION AND OPTIMIZATION FOR MARKET INTEGRATION” – A DATA-DRIVEN APPROACH BY R&D NESTER
R&D
Nester project "Aggregation - Research on Key Technologies
of Distributed Flexible Resource Aggregation and Optimization for EU Market
Operation" aims at characterise the aggregation of distributed
energy resources, develop an aggregation terminal
for distributed flexibility energy resources, and build an application of the aggregation of
distributed energy resources in the European market, by developing appropriate
models and modules for simulation in closed-loop with hardware in the
loop (HIL) in order to validate
the functions of the developed technology.
This
project is developed by R&D Nester in cooperation
with China Electric Power Research Institute (CEPRI).
In the
scope of this project, it was produced a data-driven approach to tackle the
stochastic optimal power flow problem in an electric power system. The
objective is to balance the operational costs and the risks of
constraint violations in the network. The approach uses ambiguous
distribution sets centered on a finite set of training data to account for
uncertainties in the network. It leverages the Wasserstein metric to determine
control policies that can withstand both the forecast errors and sampling
errors present in the data set by quantifying the proximity between the
empirical distributions and the actual unknown distribution. The goal is
to support the reduction of over-voltage caused by high integration of
renewable energy in the distribution network. This is useful for System
Operators (T/DSO) to efficiently plan the grid operation, or for aggregators to
draw operational strategies against penalties due to connection constraints'
violation.
As a
result of this developed work, R&D Nester Team presented a paper
titled "Improving renewable energy integration with
distributionally robust stochastic optimal power flow".
This
paper was presented at the 22nd edition of Wind &
Solar Power System Integration Workshop, that was held last September in
Copenhagen, Denmark.
The
Wind & Solar Power System Integration Workshop provides an international
forum to discuss project experiences, innovative ideas, and present results
from ongoing research. It aims to stimulate interdisciplinary thinking between
wind/solar/hydrogen energy and power transmission industries as well as
universities and to identify subjects requiring more research efforts. Benefits
include the high technical level in considering challenges, solutions and
trends and combining international project experience with networking between
industry and academia.
Presentations
are held by invited speakers from companies and leading research institutes as
well as by workshop participants selected through a call for papers.
For more information:
Aggregation Project @ R&D Nester website
2023
Wind & Solar Integration Workshop website |
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ELECTRIC VEHICLE CHARGING STATIONS PLANNING – IMPACT & CHALLENGES FOR BOTH NETWORK OPERATOR AND PROMOTER
R&D Nester project "FEVER - Analysis on the
distribution side planning of distributed EVCS, RES and BESS" aims
to study the direct impact and the associated challenges that distribution
grids are facing with the integration of EVs and EV Charging Stations
(EVCS). The research topics include an analysis on the EV infrastructure development,
integrating both distributed renewable energy resources and battery energy
storage systems (BESS), from the distribution network perspective.
This project is developed by R&D
Nester in cooperation with China Electric Power Research Institute
(CEPRI).
This project already developed a
methodology for the determination of the location and dimensioning for a
cluster containing Electric Vehicle Charging Stations (EVCS), Renewable Energy
Sources (RES) and Battery Energy Storage System (BESS). The methodology aims to
optimize system security from the network operator's point of view, while
also considering potential location preferences from the EVCS promoter. The
siting process is carried out using a Nodal Load Allocation algorithm, which iteratively
increases the load at each candidate bus to obtain the maximum admissible load.
The BESS is dimensioned using the Evolutionary Particle Swarm Optimization
(EPSO) method.
As a result of this work, R&D
Nester Team produced a paper titled "Perspectives on
Electric Vehicle Charging Station Planning in Distribution Networks: Promoter
vs Network Operator", focused on the analysis of both perspectives
with relation to the planning of EVCS in distribution grids.
In this paper the methodology and the tools
were tested using PandaPower and the simulation of IEEE 30 Bus system
integrated with a dataset based on public real data from the Portuguese DSO
network comprising part of Lisbon's MV network. The proposed methodology
provides an effective tool for the problem associated with the determination of
the location and dimensioning aggregated clusters of EVCS, RES and BESS, which
can help network operators and promoters to mitigate network stress while
maximizing local renewable energy integration.
This paper was presented at ICPE
2023 - The 4th International Conference on Power Engineering last
December, in Macau, China.
During the presentation of the paper in
the on-line session, R&D NESTER was awarded with the best
presentation of the session.
This conference is sponsored by IEEE,
Macau University of Science and Technology, University of Electronic Science
and Technology of China, Science and Engineering Institute, and IEEE Macau. As
a core area of modern science, it finds applications in diverse fields, such as
environmental, energy, aerospace, industrial, and transportation. The
proceedings are available in IEEE Xplore, Scopus, EI Compendex and SCI.
For more information:
FEVER Project @ R&D Nester website
ICPE
2023 (ICPE
2023 (ICPE Conference website)
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EMPOWERING THE ENERGY STORAGE SECTOR IN PORTUGAL – R&D NESTER AT THE 1ST PLENARY MEETING OF THE NEW GENERATION STORAGE (NGS) PROJECT
The first Plenary Meeting of the New
Generation Storage (NGS) Project was held at the INL -
International Iberian Nanotechnology Laboratory, in Braga, on the 11th of
December 2023.
The project will contribute to enhance the
battery sector in Portugal, focusing on its entire value chain. The event was
an opportunity to gather members of the NGS consortium to discuss several
topics related to the battery sector, green mobility and the development of a
battery value chain and ecosystem in Portugal. The main goal was to promote
the exchange of ideas and experiences among the partners, fostering collective
learning and growth of the NGS consortium.
The session included panel discussions and
presentations for the seven pillars of the project, detailed below:
I. Valorisation and Advanced Refining,
aiming to install a large refinery focused on sustainable refining and
valorisation processes, in order to implement an innovative and improved industrial line for lithium processing,
through a sustainable technology, based on membrane electrolysis.
II. Cell, Modules and Components, aiming to
install and operate manufacturing lines of cells and modules, and develop new,
safer and more sustainable electrodes, electrolytes and other components.
III. Battery Pack Assembly, focusing on the
installation of three assembly lines for stationary batteries and batteries for
the automotive industry. The goal is also to study the integration of
cabling, connectors
and coating, energy management systems and control electronics, as well as the
design and development of the proposed product.
IV. Integration and Applications, related
specifically to the connection of batteries to the grid for electricity network
management, their use for different purposes (e.g. residential, commercial and
industrial), and the
integration of batteries in fast charging stations and in vehicles.
V. Recycling and Second Life, focusing on
the recycling of battery materials and components, battery disassembly and
second life batteries. The goal is to enable the re-use of recycled materials
as new inputs of the
value chain, creating a sustainable circular ecosystem.
VI. Training and Advanced Courses, a pillar
transversal to the entire NGS project aiming to train human resources in the
companies involved in the NGS, as well as providing highly specialized training
for future master's
and doctoral students, promoting technical and university qualifications in
companies.
VII. Technology Platform, aiming to develop and implement a
Technology Platform, which will support the Portuguese industry in positioning
itself as an important international player in the battery sector, supporting market innovation along the
entire value chain.
R&D Nester is mainly involved in the pillar IV
"Integration and applications", by addressing the system and
market integration of distributed storage within the Business Project "Optimized
distributed storage for energy communities".
This Business Project, designed in
collaboration with CleanWatts and Instituto Superior
Engenharia do Porto (ISEP), aims at achieving the following specific
objectives:
1. Development and validation under real world conditions
of the integration of decentralised batteries in Energy Communities and,
furthermore, in the national energy system and markets;
2. Management of distributed energy storage systems
by a Virtual Power Plant (VPP) Management Platform;
3. Strengthen partners' positions in the Energy
Storage and Energy Communities sectors, in Portugal and abroad.
The event in Braga presented a chance for in-person brainstorming and
discussion among the three partners, in preparation to the next steps of the
Business Project.
For more information:
NGS Project @ R&D Nester website |
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R&D NESTER IN HEDGE-IOT PROJECT TO DIGITIZE THE ENERGY SYSTEM VIA IOT SOLUTIONS
HEDGE-IoT project proposes a novel Digital Framework
which aims to deploy Internet of Things (IoT) assets at different levels of the
energy system (from behind-the-meter, up to the TSO level), to add intelligence
to the edge and cloud layers through advanced AI/ML tools and to bridge the
cloud/edge continuum introducing federated applications governed by advanced
computational orchestration solutions.
The HEDGE-IoT project (full
project name: Holistic Approach towards Empowerment of the
DiGitalization of the Energy Ecosystem through adoption of IoT solutions)
is co-funded by the European Union under Grant Agreement No. 101136216.
The HEDGE-IoT consortium, consisting of 42 partner
organizations from 13 European countries, has officially
launched the HEDGE-IoT project during a kick-off meeting held in Athens on
January 24 & 25, 2024, where R&D Nester team was represented.
Leading academic institutions, major
energy players, utilities and energy exchange companies, technology suppliers,
facility/infrastructure operators, legal and regulatory specialists, and SMEs
supporting IT development and visibility are all part of the HEDGE-IoT
consortium. The collaboration hopes to create novel solutions,
advance standards, and influence the direction of digital
twins, smart energy, and the IoT during the
course of the project's 42-month duration. By utilizing IoT solutions, the
HEDGE-IoT Framework will improve the energy systems' ability to host renewable
energy sources (RES), unlock previously unrealized flexibility potential, and
strengthen the grid's resilience to the energy sector's digitalization and IoT
standardization advancements.
Within HEDGE-IoT project
R&D Nester's responsibilities will be mainly related to the activities
of WP2 "Stakeholders Requirements and System
Specification", WP3 "Technological Enablers
Specification, Design and Development" and WP5
"Demonstration across Technologies and Scenarios", in the latter,
more specifically in the Portuguese demo together with other Portuguese
partners: CEVE (DSO), REN (TSO), INESCTEC, SONAE group and Elergone which will
collaborate in the implementation and demonstration of the "Living
lab for Interoperable AI-based Energy Services".
 
Follow HEDGE-IoT on social media LinkedIn, Twitter and YouTube and be the first to know about any
project-related news.
HEDGE-IoT website is available at www.hedgeiot.eu.
For more information:
HEDGE-IoT Project @ R&D Nester website |
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R&D NESTER CONTRIBUTES TO THE EUROPEAN FEDERATION OF DIGITAL TWINS FOR ENERGY
The project TwinEU - Digital Twin
for Europe aims to build a federated ecosystem of Digital Twin
solutions (DT) by enabling new technologies to foster an advanced concept of DT
while determining the conditions for interoperability, data and model
exchanges through standard interfaces and open APIs to external actors.
This project is co-funded by the European
Commission under the Horizon Europe programme and proposes to build the kernel
of European data exchange supported by interfaces to the Energy Data Space
under development. Advanced modeling supported by AI tools and able to exploit
High Performance Computing infrastructure will deliver a novel capability to
observe, test and activate a pan-European digital replica of the European
energy infrastructure. In this process, reaching consensus is crucial.
Therefore, the TwinEU initiative gathers 77 partners from 15 countries, an
unprecedented number of actors committed to achieving this common goal.
The Kick-off meeting for this project took
place on the 15th and 16th of January in
Brussels, where the R&D Nester team was represented. This
meeting was the opportunity to align on milestones and objectives that steer
the consortium ambition: to leverage a unique combination of competences coming
from grid and market operators, technology providers and research centers to
create a concept of Pan-European digital twin based on the federation of local
twins so to enable a reliable, resilient, and safe operation of the
infrastructure while facilitating new business models that will accelerate the
deployment of renewable energy sources in Europe.
For
more information:
https://twineu.net/
TWIN-EU
PROJECT @ R&D Nester website
This
project has received funding from the European Union's Horizon Europe research
and innovation programme under grant agreement No 101136119. |
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R&D NESTER HOSTED THE IEC SUBCOMMITTEE WORKING GROUP
Founded in 1906, the IEC (International
Electrotechnical Commission) is the world's leading organization for the
preparation and publication of international standards for all electrical,
electronic and related technologies.
IEC is divided into TCs (technical
committees) and SCs (subcommittees), which integrate several WGs (working
groups).
R&D Nester hosted the last meeting of
the subcommittee SC 8A: "Grid Integration of Renewable Energy
Generation" that was held last February.
This event was a joint meeting of two
working groups that belong to the SC8A:
- WG6 - Connection of Renewable Energy
with HVDC System
- WG7 - Integrating distributed PV into
DC systems and use cases.
R&D Nester is represented in the WG6
with the nomination of its Managing Director, Nuno Souza e Silva, as member.
These 3-day meeting was held in a hybrid
format, welcoming members of different nationalities in the face to face
meeting in Lisbon, Portugal, and through the online zoom conference.
 
The event had a rich and busy agenda for
these 3 days of work. The groups addressed several points scheduled on the
respective agendas, including technical reports, proposals for new projects,
technical presentations, progress and discussion of IEC technical standards.
More information, consult R&D Nester
website and the IEC pages of the Study Committees and Working Groups:
 IEC website
R&D
Nester website |
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HIGH PENETRATION OF RENEWABLE SOURCES – PUBLICATION ON THE BEHAVIOR OF PROTECTION FUNCTIONS
The high penetration of renewable sources
in transmission grids may have a negative impact on the performance of
protection systems for these infrastructures, as these protections have been
designed for grids supplied by conventional power stations, where synchronous
generators are used. However, renewable sources use generators with interfaces
based on power electronics, which characteristics differ from those of synchronous
generators. This is the core of Prot4HiRES, the R&D Nester
project that aims to identify the potential problems resulting from the
introduction of renewable sources on the protection functions and, using
laboratory simulation, determine what changes are necessary to the current
philosophies of parameterization and coordination of those functions. The final
result will be a detailed specification for protection systems for transmission
grids with a high penetration of renewable sources.
This project is developed by R&D
Nester in cooperation with China Electric Power Research
Institute (CEPRI).
As a result of this work, R&D Nester
Team produced a poster that share the content produced in the Paper titled
"Methodology For The Assessment Of The Behavior Of Protection Functions
In Transmission Grids With High Penetration Of Renewable Sources".
This paper presents an assessment of the
potential impact of the high penetration of renewable energy sources (RES) on
the protection functions for transmission lines. The performed analysis was
done on a simulation model of part of a transmission grid with wind farms (WFs)
connected to various substations. A dynamic model was used for the wind
generators, including fault-ride-though capability and reactive power
contribution during faults.
R&D Nester presented this paper in the
last edition of DPSP conference.
DPSP - Developments in Power System
Protection International Conference is already in its 17th edition.
This year edition was held in Manchester, UK, last month of March.
This is one of the only conferences
dedicated to power system protection. It features leading voices in the sector,
peer-reviewed technical presentations, a tutorial on protecting the evolving
grid, networking opportunities and technical visit to the High Voltage Lab and
Real-Time Digital Simulator facilities.
For more information:
DPSP
2024 conference website
Prot4HiRES Project @ R&D Nester website |
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R&D NESTER PARTICIPATES IN AN EXHIBITION ON THE FUTURE OF THE EUROPEAN ENERGY SECTOR
R&D NESTER and F6S Innovation were present
at the Lisbon Energy Summit & Exhibition 2024 representing
the European projects HEDGE-IoT and WeForming.
This event was held in FIL - Feira Internacional de Lisboa, last 27-29
May.
HEDGE-IoT is an ambitious EU-funded initiative
within the Horizon Europe framework, dedicated to revolutionizing the energy
landscape with innovative IoT solutions. HEDGE-IoT aims to lead the charge by deploying
cutting-edge IoT assets and advanced AI/ML tools across energy systems,
enhancing resilience and unlocking untapped flexibility potential.
WeForming involves various aspects to drive
innovation and collaboration with the focus on energy optimization through
Intelligent Grid-Forming Buildings (iGFBs). The
project facilitates the integration of all the players across various sectors
and geographical regions via standardized data interoperability and Advanced
Building Management Systems. The project also promotes the creation of
collaborative business models and policy recommendations through co-creation
activities with both internal and external participants.
During the even it was possible for
visitors to get to know these and other European initiatives focused on
developing and demonstrating innovative energy solutions!
To discover more about R&D Nester initiatives
and to explore the path towards energy efficiency:
https://hedgeiot.eu/
https://weforming.eu/
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R&D NESTER: SUCCESSFUL TRANSITION OF RDI CERTIFICATION TO THE NEW STANDARD NP447: 2021
The external audit conducted on the RDI
management system implemented at R&D Nester took place over two consecutive
days (January 18 and 19) and resulted in the approval of the transition of RDI
Certification to the new version of the NP4457 Standard: 2021.
We highlight that no non-Conformities were
identified, only Opportunities of Improvement that the organization may or may
not choose to implement.
The audit covered all the requirements of
the standard, with a focus on Project Management, Monitoring, Management
Review, Information Management, and Results Valuation.
This achievement is the result of
intensive work by all R&D Nester employees in aligning the Innovation
Management System with the new and more demanding requirements. We receive this
recognition with great satisfaction, reflecting the importance we attach to
Innovation in this organization.
This certification is relevant not only
for R&D Nester but also for its partners and shareholders, confirming that
R&D Nester carries out its work in accordance with the best management
practices.
For more information about R&D
Nester's RDI Certification, please visit our website www.rdnester.com. |
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