Optimal Bi-Level Bidding and Dispatching Strategy Between Active Distribution Network and Virtual Alliances Using Distributed Robust Multi-Agent Deep Reinforcement Learning

The deregulated active distribution network (ADN) would incorporate numerous autonomous stakeholders, including some emerging distributed virtual alliances (DVAs) like virtual microgrids and virtual power plants. Those DVAs would autonomously participate in energy market trading through bidding amon...

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Veröffentlicht in:	IEEE transactions on smart grid Jg. 13; H. 4; S. 2833 - 2843
Hauptverfasser:	Zhu, Ziqing, Chan, Ka Wing, Xia, Shiwei, Bu, Siqi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.07.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Active distribution network Algorithms bidding strategy Costs Decision analysis Deregulation Dispatching Distributed generation distributed virtual alliance Dynamic programming Heuristic algorithms Indexes Load modeling Machine learning Markov processes Multiagent systems Optimization Real-time systems reinforcement learning Robustness Uncertainty Virtual power plants
ISSN:	1949-3053, 1949-3061
Online-Zugang:	Volltext
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