集成GRU的约束柔性动作-评价器住宅虚拟电厂全分布式调度策略OACSTPCDEI
GRU-integrated constrained soft actor-critic learning enabled fully distributed scheduling strategy for residential virtual power plant
本文提出了一种新型的集成门控循环单元（GRU）和深度强化学习（DRL）的住宅虚拟电厂（RVPP）调度方法.在所提方法中,GRU集成的DRL算法引导RVPP有效参与日前和实时市场,降低终端用户的购电成本和消费风险.为了避免在训练过程中违反约束条件,引入拉格朗日松弛技术,将约束马尔可夫决策过程（CMDP）转化为无约束优化问题,从而无需整定惩罚系数并保证严格满足约束条件.此外,为了增强基于约束柔性动作-评价器 （CSAC） 的 RVPP 调度方法的可扩…查看全部>>
In this study,a novel residential virtual power plant(RVPP)scheduling method that leverages a gate recurrent unit(GRU)-integrated deep reinforcement learning(DRL)algorithm is proposed.In the proposed scheme,the GRU-integrated DRL algorithm guides the RVPP to participate effectively in both the day-ahead and real-time markets,lowering the electricity purchase costs and consumption risks for end-users.The Lagrangian relaxation technique is introduced to transf…查看全部>>
邓孝云;陈永东;范东川;刘友波;马超
住宅虚拟电厂住宅分布式资源约束柔性动作-评价器完全分布式调度策略
Residential virtual power plantResidential distributed energy resourceConstrained soft actor-criticFully distributed scheduling strategy
《全球能源互联网（英文）》 2024 (2)
117-129,13
This study was supported by the Sichuan Science and Technology Program(grant number 2022YFG0123).
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