TY - JOUR
T1 - C2 - GridOptions Tool
T2 - Real-World Day-Ahead Congestion Management using Topological Remedial Actions
AU - Viebahn, Jan
AU - Kop, Sjoerd
AU - van DIJK, Joost
AU - Budaya, Hariadi
AU - Streefland, Marja
AU - Barbieri, Davide
AU - Champion, Paul
AU - Jothy, Mario
AU - Renault, Vincent
AU - Tindemans, Simon
PY - 2024
Y1 - 2024
N2 - Congestion is one of the major system risks for transmission system operators. At the same time, topological remedial actions still represent a largely unexploited form of non-costly exibility due to the combinatorial explosion in the number of possible actions. The GridOptions Tool recommends to operators topological remedial actions to mitigate congestion in the day-ahead/intraday timeframe. The underlying optimization approach is based on two pillars: (i) very fast load ow computations enable screening of the full set of relevant topologies, and (ii) multi-objective quality-diversity optimization enables the generation of a set of strategies which satisfy different trade-offs between various objectives and are behaviourally diverse. The considered objectives are related to both physical security constraints and the complexity of the strategies. As a result, the tool generates topological strategies that are a signi cant improvement compared to both the situation in which no topological remedial actions are applied and the known operator strategies. Moreover, the GridOptions Tool offers a simple user interface which is developed in interaction with operators to satisfy their cognitive needs. Finally, the GridOptions Tool is largely based on open-source tooling, and all components can run as a Docker container on a Kubernetes platform.
AB - Congestion is one of the major system risks for transmission system operators. At the same time, topological remedial actions still represent a largely unexploited form of non-costly exibility due to the combinatorial explosion in the number of possible actions. The GridOptions Tool recommends to operators topological remedial actions to mitigate congestion in the day-ahead/intraday timeframe. The underlying optimization approach is based on two pillars: (i) very fast load ow computations enable screening of the full set of relevant topologies, and (ii) multi-objective quality-diversity optimization enables the generation of a set of strategies which satisfy different trade-offs between various objectives and are behaviourally diverse. The considered objectives are related to both physical security constraints and the complexity of the strategies. As a result, the tool generates topological strategies that are a signi cant improvement compared to both the situation in which no topological remedial actions are applied and the known operator strategies. Moreover, the GridOptions Tool offers a simple user interface which is developed in interaction with operators to satisfy their cognitive needs. Finally, the GridOptions Tool is largely based on open-source tooling, and all components can run as a Docker container on a Kubernetes platform.
KW - Arti cial Intelligence
KW - Congestion Management
KW - DC Load Flow
KW - Decision Support
KW - Human-Machine Interface
KW - Multi-Objective Quality-Diversity Optimization
KW - Topological Remedial Actions
UR - http://www.scopus.com/inward/record.url?scp=85202285118&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85202285118
SN - 2426-1335
VL - 2024-December
JO - CIGRE Science and Engineering
JF - CIGRE Science and Engineering
IS - 35
ER -