|
R&D NESTER PRESENTED DRONES, ROBOTICS, AI AND SPACE DATA AT ENLIT EUROPE
R&D
Nester was present in the last edition of ENLIT Europe that
was held in Frankfurt, Germany.
ENLIT it's
an event with over 15.000 power & energy professionals which purpose is to
connect people, projects and technologies in the path of energy transition.
The
Partners of ENLIT Europe include organizations that represent
the industry stakeholders and the media titles that cover the energy sector in
Europe and around the world.
The
organization of this event work closely together throughout the year to present
the latest sector developments and industry news. This event programme always
includes presentations, panels, interviews and other digital content highly
relevant.
In this
edition R&D Nester was represented in the Session "Drones,
Robotics, AI and Space Data" of the Panel entitled "Space
Data, AI and Robotic for an efficient System Operation". Nuno
Souza e Silva, Managing Director of R&D Nester, was invited
to be a speaker on this panel, where he made a presentation sharing R&D
Nester' experience framing the remaining participants and assistance on the
content of R&D Nester's current projects and its results and achievements.
For more information:
ENLIT
EUROPE website
R&D Nester website
|
|
|
|
|
|
|
|
R&D NESTER AT THE AI & BIG DATA GLOBAL EXPO "AI IN THE ENERGY TRANSITION: RESULTS, CHALLENGES AND OPPORTUNITIES" AND THE I-NERGY 2ND OPEN CALL
R&D Nester established an Info Corner on the I-NERGY 2nd Open Call at the AI & Big Data Global Expo in
London, with a stand for the two days and a talk on the track Transformational
Digital Data and AI, entitled "AI
in the energy transition: Results, challenges and opportunities".
The AI & Big Data Global Expo gathered
professionals on IoT, Blockchain, Cyber security and cloud, edge computing and
digital transformation. In direct interactions with these professionals,
R&D Nester collected the interest to participate in the I-NERGY 2nd Open
Call from more than 10 companies with background and showcases in the energy
sector.
Nuno Pinho da Silva, R&D Nester's Researcher, delivered the talk "AI in the energy transition:
Results, Challenges and Opportunities" highlighted results obtained in
the I-NERGY, as well as the I-NERGY pilots and the project's 2nd Open Call. In
the audience, there were more than 50 people from 31 different companies,
ranging from public institutions to SMEs and start-ups.
With
the I-nergy, R&D Nester is addressing two use-cases in the Portuguese pilot:
AI
for enhanced network assets predictive maintenance, integrating off-grid data
with condition-based monitoring: This
use-case addresses the problem of developing predictive analysis for the health
of Circuit Breakers to support condition-based maintenance strategies. The results obtained so far include: o Machine Learning based architecture to develop data-driven COMTRADE files analysis o Fully automated data processing, analysis and reporting system o Asset maintenance dashboard to support condition-based maintenance policies, relying on the developed survival function for circuit breakers (considering different models for each voltage level)
AI
for network loads and demand forecasting towards efficient operational
planning This use case is considering the forecasting of the National load and at
the TSO-DSO interface for the day-ahead operational planning. The results
obtained so far include:
o
Time-series
processing and feature engineering
o
Development
of stacking methodologies to aggregate the members using XGBoost and Pattern
Sequence Forecasting with different clustering algorithms (k-Means,
Agglomerative clustering and SOMs), with improved performance for the National
Load forecasting
o
Development
of incremental learning methodologies based on the adaptive random forest
method with the incorporation of the ADWIN to detect drifts and adapt to them
without re-training, which decreases the data and time of the adaptation, while
improving the performance of TSO-DSO interface net load forecasting.
The I-NERGY project is founded by the
European programme H2020. This initiative gathers 17 partners with the aim to
support and develop new AI-based energy services and reinforce the service
layer of the EU AI-on-demand platform (ai4europe.eu) on the energy sector.
More information:
AI & Big Data Expo Global 2023 event website
I-NERGY Project website
I-NERGY Project @ R&D Nester website
|
|
|
|
|
|
|
|
R&D NESTER PRESENTED NODAL CAPACITY ALLOCATION TOOL AT MEDPOWER
R&D Nester was present in the last edition of MEDPOWER - Mediterranean Conference on Power
Generation, Transmission, Distribution and Energy Conversion.
The 13th edition
of the Mediterranean Conference on Power Generation, Transmission,
Distribution and Energy Conversion was held in Valletta, Malta, from 7
to 9 of November 2022.
MEDPOWER2022 provided the opportunity for engineers,
scientists, technicians, researchers, scholars, and companies to exchange ideas
and discuss the latest research achievements in academia and industry. The
conference also provided a forum to create opportunities for networking and
collaboration through a series of presentations, talks, exhibitions, and
special sessions. The conference covered all aspects of the power system
market, design, operation, and planning, including the integration of ICT and
energy systems as well as addressing challenges in the future energy markets.
In this
13th edition, R&D Nester presented a paper
titled "System-wide Nodal Capacity Allocation Applied to a Spanish
Distribution Network".
The
content of this presented paper was produced in the scope of R&D Nester's
participation on the H2020 project INTERPRETER, in which
several planning and operational tools for Distribution Operators were
developed.
R&D
Nester developed two planning tools, one of which, the Nodal Capacity
Allocation tool, provided the material used for the creation of the
presented paper.
The
tool itself provides a system-wide analysis on a distribution grid's ability to
absorb power injection, determining at each bus how much power can be injected
before any overloads or overvoltages occur in the grid.
The
tool maximizes total power absorption at the system level without compromising
on operational safety limits. To achieve this outcome, a Genetic
Algorithm is used to simultaneously maximize nodal injection at every
bus of the grid (or any bus set that the user so wishes to maximize for).
In the
paper R&D Nester delivered an explanation on the tool's
methodology and presented validation results using a digital-twin from a
Spanish distribution network.
For
more information:
MedPower 2022 Conference
INTERPRETER
website
INTERPRETER
@ R&D Nester website
INTERPRETER
@ LinkedIn
|
|
|
|
|
|
|
|
R&D NESTER IN ENERSHARE PROJECT: DEVELOPING THE FIRST COMMON EUROPEAN ENERGY DATA SPACE
ABOUT
ENERSHARE PROJECT:
- The
Enershare project will develop and deploy a unique and first of its kind Common
European Energy Data Space that will significantly contribute to transform and
digitize the energy industry on "intra-energy" and
"cross-sector" levels;
- The
project will allow to set up a level playing field for data sharing and aim at
creating a single market for energy assets, including energy and computational
assets, energy data, energy services, to be shared and exchanged across sectors
efficiently and securely within the EU;
- Common
European Energy Data Space enables access, control, share and reuse of large
masses of currently dispersed energy data for private consumers, energy and
non-energy business stakeholders, regulated operators and the public sector
that will make the energy industry more secure and sustainable.
A consortium of
international leaders and market drivers from the energy industry and science
has launched the Enershare project, funded with 8 million
euros by the European Commission. The main objective of the project is to
develop and deploy the first of its kind Common European Energy Data Space Reference
Implementation and provide a stack of data-driven cross-value chain services at
the interplay of energy, non-energy and Data value chains to enable a
consumer-centric participatory data-driven energy system. Enershare will
accelerate the digitalisation of the energy sector, through the upscale of a
variety of technological building blocks, including interoperability, trust,
data value and governance. The project is relevant to the European goal of
developing a Common European Energy Data Space, as announced in the European
Strategy for Data.
The major concept
of Enershare is to develop and demonstrate a European Common
Energy Data Space which will deploy a trusted, secure and sovereign level
playing field for energy data sharing and exchange among energy and non-energy
stakeholders as well as it will span over two meaningful pillars: an
"intra-energy" Data Space, aimed to design and demonstrate an
"intra-electricity" and "across energy sector" trusted data
exchange; and a "cross-sector" Data Space aimed to design,
operationalise, and harmonise at EU level the beyond energy and cross-sector
technology enablers for trusted, secure, sovereignty preserving data exchange.
Therefore, it will significantly evolve the energy industry and make it fully
sustainable as private consumers, energy and non-energy business stakeholders
and regulated operators can make available their energy data, assets, and
services. They can also access, share and reuse large sources of currently
fragmented and dispersed data by leveraging on data-driven cross-value chain
services and Digital Twins for various energy-related purposes.
"It becomes
urgent to move forward the development of a Common European Energy Data Space.
One of the key actions presented in the EC Recommendation for Energy System
Integration is to streamline and deploy a Digitalisation of Energy Action Plan
which could accelerate the implementation of digital solutions along a more
integrated energy system, by leveraging on the seamless and interoperable
data-driven interaction among energy and beyond stakeholders. Such huge demand
for information requires new concepts, architectures, solutions, governance and
business models suitable to the energy domain on how to share, trust and
exchange data efficiently among and across energy and non-energy
stakeholders", - commented Dr. Massimo Bertoncini, Project Coordinator
of Enershare, R&D Program Director for Digital Energy at
ENGINEERING.
THIRTY-ONE
CONSORTIUM MEMBERS ARE COMBINING THEIR FORCES
The Enershare project,
led by digital transformation key player ENGINEERING, comprises thirty-one
consortium partners from Finland, France, Germany, Greece, Italy, Latvia,
Luxembourg, The Netherlands, Norway, Portugal, Slovenia, and Spain. They are
international organizations from energy sector, relevant industries, research
institutions and academies as well as providers of digital transformation
services in open standards and various energy sectors analysis: Asm Terni
S.p.A, Basque Energy Cluster, Comsensus, Depa Commercial, Electricite De
France, Elektro Celje, Elektro Ljubljana, Eles, Emotion, Engie, Envirodual,
European Dynamics Luxembourg, European Dynamics, FIWARE Foundation, Fortum,
Fraunhofer-Gesellschaft, Hine Renovables, INESC TEC, International Data Spaces
Association, Komunalno Podjetje Velenje, National Technical University of
Athens, Nokia, R&D Nester, RWTH Aachen, Smart Energy Lab, Smart Innovation
Norway, Tecnalia Research and Innovation Foundation, The Latvian Environmental
Investment Fund, TNO, Trialog.
INTEROPERABILITY,
TRUST, DATA VALUE: THREE INNOVATIVE LEVELS TO DIGITIZE THE ENERGY SECTOR
Over the next three
years, the project consortium will develop and provide a Reference
Implementation for a Common Energy Data Space which will leverage on the
leading-edge Data Space architectures by International Data Space Association
(IDSA) and European cloud initiative GAIA-X. It will enable to set up a level
playing field for data sharing and aim at creating a single market for data to
be shared and exchanged across sectors efficiently and securely within the EU.
Thus, private and public entities can fully control the use of the data they
generate, and both businesses and the public sector have easy access to a large
pool of high-quality data. The Enershare concept is based on
three levels:
- Interoperability and Data Space technological building
blocks - Supporting the EU Strategy for Data acknowledges that Data Spaces
should be interconnected and interoperable, Enershare will
achieve the main Energy Data Space challenge consisting of two significant
directions: first, it is providing interoperability among electricity and other
non-electrical carriers, like for example, heat or gas; and second,
interoperability among energy and non-energy domain like buildings, mobility, water,
health or financial. Both directions will be successfully implemented by
evolving and enabling standardisable and open, interoperable interfaces and
APIs at the interplay among electricity and other energy and non-energy
sectors, and leveraging on open standards, such as FIWARE ETSI Context broker,
SGAM, CIM, SAREF.
- Trust and sovereignty for data sharing culture - Enershare will
build on IDSA and GAIA-X Conceptual Architectures and will include in the IDSA
Connector for Data Provider and Data Consumer energy-domain trust and
sovereignty building blocks and functionalities adaptation, such as Federated
Identity Management and Data Usage Policies definition. The project will also
leverage on adaptation of Blockchain solutions to increase trust among stakeholders
and data space operators or owners. It will enable trusted and full sovereign
data sharing and exchange, keeping data owners in full control of their data.
- Data Governance Mechanisms and Data Value Stack - Data
Value Chain assets, including data sources, data services, computing
infrastructures, and data storage resources, will be valued, exchanged and
reciprocally compensated in a financial and non-financial way by leveraging on
a digital blockchain and smart contracts-based marketplace with different
energy resources, assets and services. For example, it can be exchanging energy
data against surplus of energy, renewable assets, smart home flexibility assets
maintenance to social assistance or care services to more vulnerable people,
such as elderly people. The development and deployment of the Enershare Data
Value Stack will increase individual energy consumers participation in energy
data sharing, based on the opportunity for data valuation and beyond-financial
compensation.
For more information:
Enershare
project website
Enershare
project @ R&D Nester website
This project has received funding from the European
Union's Horizon Europe Research and Innovation programme under the Grant
Agreement No 101069831.
|
|
|
|
|
|
|
|
GEOGRAPHICAL ISLANDS FLEXIBILITY: FURTHER DEVELOPMENT TOWARDS THE END OF THE H2020 GIFT PROJECT
The GIFT consortium met for the
seventh time last October at Sylfen premises, in France.
GIFT is
an innovative project that aims to decarbonise the energy mix of European
islands, making use of the flexibility available in distributed loads and
storage, and involves 17 partners from 7 countries: INEA and ETREL from
Slovenia, INTRACOM and CRES from Greece, Sylfen, Trialog, Odit-e, ARMINES and
Euroquality from France, Elestor from the Netherlands, Hafenstrom, HLK,
Harstad Kommune and NTNU from Norway, Sapienza University and Comune di Procida
from Italy, and R&D Nester from Portugal.
R&D Nester's main responsibilities in this project are: - Enhanced
prediction system (nodal prediction of net load and demand response), and
- Procida
grid simulation in closed loop with local measurements.
After a
brief revision of the finished work by the project coordinator, the whole team
dove in the project topics and the running work packages progress.
The
Consortium reported the successful installation of metering equipment in the
demonstration site of Procida (Italy). The installed smart meters will provide
DMS data to the project and will enable the improvement of Procida grid
estimations, performed by R&D Nester. Regarding the installation of the
Smart Energy Hub in Procida, a new location (instead of the initially planned
city-hall) able to satisfy all the safety and regulatory requirements was
found, and the consortium announced that the installation will start in the
upcoming weeks.
In what
concerns to project exploitation and replicability of results, fruitful
discussion take place during the meeting for the deployment of GIFT's
solution in follower islands, namely the Greek island of Evia.
During
the meeting, all participants were invited to visit Sylfen facilities where a
hybrid hydrogen storage and CHP system "Smart Energy Hub" is being
developed. The "Smart Energy Hub" aims to maximize the energy
auto-consumption of a building or groups of buildings by using hydrogen as an
energy vector to store the surplus electricity from renewable energy sources to
re-inject it back into the grid when needed. As an innovative green energy
technology, it relies on dynamics software that receive inputs from in-field
monitoring to enhance its efficiency.
The GIFT project develops
the concept of Virtual Power System:
The Virtual Power
System is enabled and supported by the GIFT system, with the following
architecture:
The GIFT project
developed innovations recognized by the European Commission Innovation Radar,
namely the R&D Nester's Enhanced Prediction
System:
For more information:
Gift
Project website
GIFT project @ R&D Nester website
|
|
|
|
|
|
|
|
DYNAMIC LINE RATING P2020 OPTIGRID PROJECT FINAL DEVELOPMENTS
R&D NESTER organized the final meeting of OPTIGRID project
at its facilities in Sacavém last month of October.
This
project final meeting occurred in a hybrid format, with the presence of LNEG and R&D
NESTER elements both physically and remotely.
The
purpose of this meeting was to complete the last important milestone related to
the closing meeting of the project.
A
general review of the work accomplished on the OPTIGIRD project was carried
out, as well as the verification of the completed tasks and the tasks to be
completed.
Almost
all KPIs were achieved, with exception for academic internships because of the
pandemic.
It was
also approached the recent workshop held at LNEG' facilities last month of
September and the subsequent disclosure of the relevant stakeholder to this
topic.
R&D NESTER also provided a visit to its real-time simulation lab
for the elements of LNEG.
This OPTIGRID project
with the partnership between R&D Nester and LNEG lasted
for 48 months, started in 2018 and ending now in 2022.
The
project was financed by the P2020 program.
Disclaimer and financing programme/entity: Project
PTDC/EEI-EEE/31711/2017 submitted under the call for tenders (AAC) No. 02 /
SAICT / 2017, funded by national funds through the budget of the Foundation for
Science and Technology (FCT). More information:
OptiGRID Project website
OptiGRID @ R&D Nester website
|
|
|
|
|
|
|
|
R&D NESTER PRESENTED FLEXPLAN PROJECT INNOVATIVE GRID PLANNING TOOL AT SEST 2022
The 5th edition
of the International Conference on Smart Energy Systems and
Technologies was held in Eindhoven, The Netherlands, from 5 to 7
September 2022.
The
area of smart energy systems and technologies has witnessed both impressive
growth and significant investments in recent years. Smart energy systems and
technologies enable more efficient management of energy usage and supply and
better planning for outage response and recovery, as well as the integration of
heterogeneous technologies such as electric vehicle networks, renewable energy
systems and connected consumers. Nonetheless, major research questions and
engineering challenges remain, particularly in the light of increasing data
streams from different parts and components of energy systems and the need to
enhance their physical and cyber resilience.
SEST 2022 provides
a venue to discuss potential solutions to existing challenges and bring forward
new ones, bringing together academic researchers, industry practitioners and
regulators, working as a forum for exchanging knowledge and best practices
related to the design and implementation of smart energy systems and
technologies.
In this 5th edition R&D
Nester presented one paper entitled "FlexPlan: testing an
innovative grid planning tool using European wide regional cases". Its
content was produced in the scope of R&D Nester project FlexPlan which
aims at creating a new tool for optimizing transmission and distribution grid
planning, considering the placement of flexibility elements as an alternative
to traditional grid planning. This approach aims at helping to reduce overall
power system costs i.e. infrastructure deployment and operation costs, the
latter in terms of procurement of energy and system services.
In the paper, the general methodology used in the
simulation toolchain was described, that consists of definition of the input
data for simulations, the methodology for proposing a list of grid expansion
candidates and solving the grid expansion problem. A set of simplifications has
also been presented in order to reduce the required simulation time, which is a
measure of computational effort, but to preserve a high level of accuracy and
fidelity of the results. In order to demonstrate the robustness and
applicability of the proposed solution, the preliminary results of four out of
six Regional Cases were presented with description of the networks and details
about existence of network congestions, which will be further processed to
identify grid expansion candidates and solve the grid expansion problem for the
multiple scenarios considered in FlexPlan."
For more information:
FLEXPLAN Project @ R&D Nester website SEST 2022 Conference website
FLEXPLAN
project website
FLEXPLAN Project @ LinkedIn
|
|
|
|
|
|
|
|
R&D NESTER SUMMER INTERNSHIPS IN RESEARCH, DEVELOPMENT AND INNOVATION
This Summer R&D Nester hosted 6
students who contributed in research, studies and projects.
They were from Nova School of Science and
Technology, Faculdade de Ciências da Universidade de Lisboa and
from IST - Instituto Superior Técnico.
Summer trainees at R&D Nester: Sofia Lopes, Catarina Marcelino, Ana Catarina Araújo, Manuel
Barros, Davide Silva e Rafael Rodrigues
These selected students were from courses as Electrical
Engineering and Computers and Energy and
Environmental Engineering:
Instituto Superior Técnico:
- DAVIDE
SILVA (Internship area: renewable sources)
- MANUEL
BARROS (Internship area: aggregation of distributed energy resources)
- RAFAEL
RODRIGUES (Internship area: electric vehicles)
Nova School of Science and Technology
- ANA
CATARINA ARAÚJO (Internship area: storage)
- SOFIA
LOPES (Internship area: networks/planning)
Faculdade de Ciências da
Universidade de Lisboa
- CATARINA
MARCELINO (Internship area: consumption profiles)
This type of initiative allows these students to take
advantage of their summer school break, thus enriching their knowledge with the
reality of the sector dealing now with real projects.
In these period of collaboration with R&D
Nester, these students end up acquiring more in-depth knowledge of the many
concepts of the electricity and energy sector in general that until then only
knew in theory.
This experience seeks to reconcile the theoretical and
abstract knowledge these students acquired in their course, bridging the
reality experienced in R&D Nester and the decisions that are associated to
energy sector in general.
The context of R&D Nester is particularly suitable
for this type of initiatives, as it provides them to work in Research,
Development and Innovation area, often close to the student's study areas and
already with a connection to applications in business life.
Trainees worked on themes such as networks/planning
grid, consumption, aggregation of distributed energy
resources, electric vehicles, batteries and renewable
sources. The work developed by them was aligned with the
current research needs of R&D Nester, being used in real projects that are
in progress.
The collaboration with these students lasted between 5 to 7 weeks.
Trainees with their R&D Nester Coordinators
This was
intended to be an enriching experience to remember and to boost the
professional career of these 6 potential researchers and future professionals
in the sector.
|
|
|
|
|
|
|
|
INTERCONNECTION CAPACITY CALCULATION METHODOLOGIES FOR THE EUROPEAN ELECTRICITY MARKET - R&D NESTER PRESENTS IN ICPST 2023
R&D Nester was represented in 2023 IEEE
International Conference on Power Science and Technology (ICPST 2023) with
its participation in the Session entitled "Power System
Reliability Analysis & Power Supply System Planning and Dispatch".
Nuno Pinho da Silva, Senior Researcher of R&D
Nester, leaded this session's final presentation with the paper
entitled "Analysis of the Interconnection Capacity Calculation
Methodologies for the European Electricity Market".
This
paper delves with the methodologies for the coordinated calculation of the
available interconnection capacity for day-ahead and intraday energy markets.
In particular, it investigates and compares the application of four different
approaches for computing the generation/load shift keys, which are fundamental
parameters underlying the coordinated capacity calculation methodologies in the
internal European market for electricity.
This
work was produced in the scope of the R&D Nester's project MarCo -
Research on Electricity Market Coupling. This project studies the
history, operation status, coordination relationship, existing problems and
future development trends of spot markets in major European regions and in the
internal European market for electricity. The project builds a security
constrained market model and designs a simulation addressing the congestion
management mechanisms in the internal European market for electricity.
The ICPST
2023 conference was held in Kunming, Yunnan, China, last May, and also
occurred in hybrid format.
This
conference was sponsored by IEEE, Kunming University of Science and Technology
(KUST), Science and Engineering Institute (SCIEI) and Test Department of
Electric Power Dispatch Automation System and Equipment (Nanjing)-China
Electric Power Research Institute.
For more information:
ICPST 2023 Conference website
MarCo
Project @ R&D Nester website
|
|
|
|
|
|
|
|
R&D NESTER PRESENTED REGIONAL CASES RESULTS IN FLEXPLAN PROJECT’S FINAL WORKSHOP TO EUROPEAN STAKEHOLDERS
R&D Nester was present at the final workshop of the FlexPlan
project, held in Brussels, Belgium, on the 14th of February
2023. The workshop intended to present the main results of the project to
several European stakeholders, such as System Operators and Regulatory
Entities.
The FlexPlan project
aims at establishing a new grid planning methodology considering the
opportunity to introduce new storage and flexibility resources in electricity
transmission and distribution grids as an alternative to building new grid
elements. The methodology is tested into 6 regional cases covering most parts
of Europe, for realistic pan-European scenarios in 2030, 2040, and 2050.
The
FlexPlan methodology consists of three main steps, depicted below: - Obtaining
the initial input data by gathering information about grid models and scenario
time series for each regional case
- Solving
the optimal power flow (OPF) for the non-expanded grid, identifying the
potentially profitable investments (candidates) to be processed into the grid
expansion planning (GEP) tool, selecting among traditional grid reinforcements,
storage units or flexible loads
- Solving
the GEP problem by using the output from the OPF and candidates that were
obtained in the previous step.
One of the main novelties introduced by the
methodology is that, instead of analyzing a new investment at a time, it
analyses all the pre-processed candidates at once, by determining the
combination that minimizes the sum of capital and operational expenditures.
Worth mentioning is that among the costs, environmental costs such as carbon
footprint and air quality are considered as well, taking an important step
forward with regard to state-of-the-art grid planning tools.
The
optimization to be solved consists of a large Mixed Integer Linear Problem
(MILP), which becomes numerically tractable due to the usage of decomposition
techniques, i.e. Benders decomposition and decomposition between transmission
and distribution planning. The MILP is solved by the FlexPlan planning tool,
which was developed using state-of-art technologies and is capable to run
complex simulations using stochastic optimization. The figure below gives an
overview of the FlexPlan tool's architecture.
As
mentioned above, the FlexPlan methodology and tool are validated on 6 European
regional cases, being Iberian, France&BeNeLux, Italian, Balkan,
Germany&Switzerland&Austria, and Nordic. R&D Nester is
the leader of the related work package, named "Regional cases and
assessment of advantages over traditional planning", and is hence
responsible for the management and coordination of the testing activities of
all regional cases.
During
the final workshop, Aleksandr Egorov, a researcher from R&D
Nester, pitched the presentation "FlexPlan Regional Cases",
where he highlighted the results of the simulations of each regional case and
extracted comparisons and conclusions. Among the main results, which will be
further analyzed for the regulatory analysis within the project, it emerged
that flexibility investments, i.e. storage units and flexible loads, are
frequently approved by the tool, and may thus be considered in the future as
both an alternative or a complementary option to traditional grid
reinforcements, depending on how severe is the potential local grid congestion.
For more information:
FLEXPLAN Project @ R&D Nester website
FLEXPLAN project website
|
|
|
|
|
|
|
|
PRESIDENT OF CEPRI VISITED R&D NESTER
R&D Nester received a delegation from China Electric Power
Research Institute (CEPRI), namely its President, Mr. Gao KeLi, and
the Director and Deputy Director of the International Cooperation
Department, Mr. Li Bo and Ms. Ye Jin.
CEPRI
delegation also showed particular interest in visiting the R&D
Nester laboratory.
This
visit was part of R&D Nester Shareholders and Board Meetings. Since the
pandemic, this was the first physical meeting of R&D Nester Corporate
Bodies.
China Electric Power Research Institute (CEPRI) is a comprehensive and multi-disciplinary research
institute affiliated to the State Grid Corporation of China (SGCC).
Since
1951, CEPRI is devoted to R&D, testing and inspection, and technical
standard formulation that are of fundamental and universal significance to
power grids. It has the task of coordinating efforts of the provincial electric
power research institutes under SGCC to build an integrated technical support
system. CEPRI is also active in a broad variety of research areas relevant to
electric science and business, including power generation, transmission, and
distribution, power supply and utilization, electric project design,
construction, commissioning, operation, monitoring and maintenance and
renewable energy, new materials, energy conversion, information and
communication technology, etc.
For R&D
Nester it was an honor to receive this distinguished delegation.
|
|
|
|
|
|
|
|
R&D NESTER IS THE PARTNER SELECTED BY OPAL-RT TO SHOWCASE ITS MOST RECENT SUCCESS STORY WITH THE TITLE “HIL SIMULATION FOR THE SUBSTATIONS OF THE FUTURE”
In this
Success Story it's possible 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.
OPAL-RT
is a worldwide leading company on Real-time Simulation systems. These systems
have the potential to reduce the costs and delays for complex mechanical and
electrical system design, prototyping and testing, by providing
high-performance simulation systems that are open and easy-to-use, utilizing
commercial technology optimized for parallel computing, with the ultimate goal
of making real-time simulation efficient, precise and accessible to all.
We
invite you to learn about some examples of what R&D NESTER has been doing
with OPAL-RT Real-time Simulator towards the Substations of the Future.
Link OPAL-RT
website: https://www.opal-rt.com/resource-center/document/?resource=Mkt_0027592
Extra: Additional info on Hypersim Users (with reference to
R&D NESTER)
HYPERSIM® Customers
https://blob.opal-rt.com/medias/L00161_0997.pdf
|
|
|
|
|
|
|
|