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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Vydáno v:	Applied energy Ročník 317; s. 119123
Hlavní autoři:	Samende, Cephas, Cao, Jun, Fan, Zhong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.07.2022
Témata:	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
On-line přístup:	Získat plný text
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