Research on Long-Term Scheduling Optimization of Water–Wind–Solar Multi-Energy Complementary System Based on DDPG

Research on Long-Term Scheduling Optimization of Water–Wind–Solar Multi-Energy Complementary System Based on DDPG

To address the challenges of high complexity in modeling the correlation of multi-dimensional stochastic variables and the difficulty of solving long-term scheduling models in continuous action spaces in multi-energy complementary systems, this paper proposes a long-term optimization scheduling meth...

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Bibliographic Details
Main Authors: Zixing Wan, Wenwu Li, Mu He, Taotao Zhang, Shengzhe Chen, Weiwei Guan, Xiaojun Hua, Shang Zheng
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Energies
Subjects:
multi-energy complementarity
clean energy absorption
optimal scheduling
deep reinforcement learning
uncertainty
Online Access:https://www.mdpi.com/1996-1073/18/15/3983
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