宁夏电力Issue(1)：43-49,7.DOI:10.3969/j.issn.1672-3643.2025.01.006
基于鲁棒强化学习的配电网电压实时控制方法
Real-time voltage regulation technique for distribution networks utilizing robust reinforcement learning
摘要
Abstract
The large-scale integration of distributed photovoltaic(PV)systems poses considerable challenges to voltage regulation in distribution networks.A real-time voltage control approach utilizing robust reinforcement learning is proposed to alleviate the effects of measurement uncertainty.First,a voltage control model for distribution networks is established to minimize voltage deviation,subsequently reformulated as a Markov decision process.Secondly,a distur-bance agent is introduced to induce perturbations in the observation state,so imitating measurement inaccuracies.Finally,a framework combining synchronous training and asynchronous learning is developed to improve the agent′s robustness.The simulation findings for the IEEE 33-bus system indicate that the proposed solution is both effective and reliable.关键词
分布式光伏/电压控制/不确定性/鲁棒强化学习Key words
distributed photovoltaics/voltage regulation/uncertainty/robust reinforcement learning分类
动力与电气工程引用本文复制引用
宫建锋,齐屹,韩一鸣,张斌,张诗豪,韩照洋,尹孜阳..基于鲁棒强化学习的配电网电压实时控制方法[J].宁夏电力,2025,(1):43-49,7.基金项目
宁夏回族自治区自然科学基金项目(2023AAC03845) （2023AAC03845）
