Multi-Microgrid Energy Trading Strategy Based on Multi-Agent Deep Deterministic Policy Gradient Algorithm

Compared to individual microgrid, multi-microgrid (MMG) system can enhance the overall utilization of renewable energy, effectively improve the operational stability of local microgrids, and reduce the dependence on main grid. However, energy management of MMG encounters significant challenges due t...

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Vydané v:	Applied mathematics and nonlinear sciences Ročník 9; číslo 1
Hlavní autori:	Qi, Genhong, Fu, Lingxiao, Wang, Meng, Zhu, Mingcheng, Yuan, Shaoqing, Xu, Jiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Beirut Sciendo 01.01.2024 De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Predmet:	68T07 Algorithms Alternative energy sources deep reinforcement learning energy scheduling energy trading multi-agent deep deterministic policy gradient multi-microgrid Renewable resources
ISSN:	2444-8656, 2444-8656
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