Multi-agent deep deterministic policy gradient algorithm for peer-to-peer energy trading considering distribution network constraints

In this paper, we investigate an energy cost minimization problem for prosumers participating in peer-to-peer energy trading. Due to (i) uncertainties caused by renewable energy generation and consumption, (ii) difficulties in developing an accurate and efficient energy trading model, and (iii) the...

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Veröffentlicht in:	Applied energy Jg. 317; S. 119123
Hauptverfasser:	Samende, Cephas, Cao, Jun, Fan, Zhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.07.2022
Schlagworte:	algorithms data collection Deep deterministic policy gradient energy energy costs issues and policy Markov decision process Multi-agent Peer-to-peer energy trading renewable energy sources Renewable generation Multi-agent Deep deterministic policy gradient Markov decision process Renewable generation Peer-to-peer energy trading
ISSN:	0306-2619, 1872-9118
Online-Zugang:	Volltext
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