Optimal bidding strategy for the price-maker virtual power plant in the day-ahead market based on multi-agent twin delayed deep deterministic policy gradient algorithm

In recent years, distributed energy resources (DERs) have developed greatly, and the total capacity of resources aggregated by virtual power plants (VPPs) has increased. The role VPP plays in the market is changing. It is necessary to explore VPP's bidding strategy in the electricity market bas...

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Veröffentlicht in:	Energy (Oxford) Jg. 306; S. 132388
Hauptverfasser:	Jiang, Yuzheng, Dong, Jun, Huang, Hexiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.10.2024
Schlagworte:	algorithms Bidding strategy decision making electricity Electricity market energy income issues and policy markets Multi-agent reinforcement learning power plants prices Twin delayed deep deterministic policy gradient Virtual power plant Multi-agent reinforcement learning Virtual power plant Bidding strategy Electricity market Twin delayed deep deterministic policy gradient
ISSN:	0360-5442
Online-Zugang:	Volltext
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