Distributed deep reinforcement learning-based gas supply system coordination management method for solid oxide fuel cell

In order to sustain solid oxide fuel cell (SOFC) net output power and prevent violation of oxygen excess ratio (OER) constraint and fuel utilization (FU) constraint, a data-driven gas supply system coordination management method is proposed. Accordingly, a population evolution-based multi-agent doub...

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Vydáno v:	Engineering applications of artificial intelligence Ročník 120; s. 105818
Hlavní autoři:	Li, Jiawen, Cui, Haoyang, Jiang, Wei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.04.2023
Témata:	Distributed deep reinforcement learning Gas supply system coordination management method Population evolution multi-agent double delay deep deterministic policy gradient algorithm Solid oxide fuel cell Population evolution multi-agent double delay deep deterministic policy gradient algorithm Gas supply system coordination management method Distributed deep reinforcement learning Solid oxide fuel cell
ISSN:	0952-1976, 1873-6769
On-line přístup:	Získat plný text
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