R&D NESTER PRESENTED FLEXPLAN PROJECT INNOVATIVE GRID PLANNING TOOL AT SEST 2022 FLEXPLAN
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."
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