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An Adaptive Scheduling Method for Standalone Microgrids Based on Deep Q-Network and Particle Swarm Optimization

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成果类型:
期刊论文
作者:
Zhang, Borui;Liu, Bo
通讯作者:
Liu, B
作者机构:
[Liu, B; Liu, Bo; Zhang, Borui] Hunan Agr Univ, Coll Informat & Intelligence, Changsha 410128, Peoples R China.
通讯机构:
[Liu, B ] H
Hunan Agr Univ, Coll Informat & Intelligence, Changsha 410128, Peoples R China.
语种:
英文
关键词:
standalone microgrids;adaptive method;reinforcement learning;particle swarm optimization algorithm
期刊:
Energies
ISSN:
1996-1073
年:
2025
卷:
18
期:
8
页码:
2133-
基金类别:
This research was funded by the National Natural Science Foundation of China (Grant No. 61972147), the Major Science and Technology Projects in Yunnan Province (Grant No. 202202AE090032), and the Hunan Province College Students’ Innovation and Entrepreneurship Training Program (Grant Nos. s202410537132, s202410537131, s202410537126).
机构署名:
本校为第一且通讯机构
摘要:
Standalone wind–solar–diesel–storage microgrids serve as a crucial solution for achieving energy self-sufficiency in remote and off-grid areas, such as rural regions and islands, where conventional power grids are unavailable. Addressing scheduling optimization challenges arising from the intermittent nature of renewable energy generation and the uncertainty of load demand, this paper proposes an adaptive optimization scheduling method (DQN-PSO) that integrates Deep Q-Network (DQN) with Particle Swarm Optimization (PSO). The proposed approac...

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