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Enhancing Distribution System Resilience by Dynamic Post-Disruption Microgrid Formation
Kaiyuan Pang,Nikos D. Hatziargyriou,Fushuan Wen 전력전자학회 2023 ICPE(ISPE)논문집 Vol.2023 No.-
The post-disruption microgrid (MG) formation is an operational measure proposed to boost distribution system resilience against disastrous events. This paper proposes a two-stage post-disruption MG formation strategy. The first stage optimizes the MG topology to be formed and the second stage transforms the faulted distribution system into the desirable MGs. Mathematically, an optimal MG topology determination model is formulated to flexibly allocate distributed generators and critical loads into multiple MGs with the objective of maximizing load pickup. The second-stage problem is then triggered to search for a secure switching sequence that satisfies frequency dynamics limitations. The performance of the proposed model is verified in a modified real-world 136-node test feeder with loss of the substation.
Q-learning Algorithm Based Multi-Agent Coordinated Control Method for Microgrids
Yuanyuan Xi,Liuchen Chang,Meiqin Mao,Peng Jin,Nikos Hatziargyriou,Haibo Xu 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6
This paper proposes a Q-learning algorithm (Q-LA) based multi-agent coordinated control method for microgrids. By the method, Q-LA is adopted to calculate the power to be regulated, which is called the microgrid regulation error (MRE), in secondary control for real-time operation. And the generation schedule of distributed generators (DGs) as well as batteries is modified in real time with the MRE by the fuzzy theory and particle swarm optimization method, taking the economy and environmental benefits into consideration together. The simulation platform of Q-LA based multi-agent hybrid energy management system for microgrid (HEMS-MG) is established in C++ Builder. The simulation results verify the effectiveness and feasibility of the proposed method.