An optimal dispatch strategy for distributed PV clusters based on <italic style="font-style: italic">Q</italic>-learning and pinning consensus algorithm

GONG Diyang; TANG Yajie; GAO Weiju; WANG Xiangjin; JIANG Guodong; FU Ming

doi:10.19585/j.zjdl.202511007

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An optimal dispatch strategy for distributed PV clusters based on Q-learning and pinning consensus algorithm

New Energy | 更新时间：2025-11-26

- An optimal dispatch strategy for distributed PV clusters based on Q-learning and pinning consensus algorithm
- “In the field of power distribution network, experts have proposed a distributed photovoltaic cluster optimization scheduling strategy based on Q-learning and PCA, which effectively enhances the support capacity of the power grid and improves the operational level.”
- ZHEJIANG ELECTRIC POWER Vol. 44, Issue 11, Pages: 72-82(2025)
- 作者机构：
  
  1.国网浙江省电力有限公司电力科学研究院，杭州 310014
  2.国电南瑞南京控制系统有限公司，南京 211106
- 作者简介：
- 基金信息：
- DOI：10.19585/j.zjdl.202511007
  CLC：
- Received：27 December 2024，
  
  Revised：2025-04-11，
  
  Published：25 November 2025
- 稿件说明：
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龚迪阳,唐雅洁,高为举等.基于Q学习和PCA的分布式光伏集群优化调度[J].浙江电力,2025,44(11):72-82.

GONG Diyang,TANG Yajie,GAO Weiju,et al.An optimal dispatch strategy for distributed PV clusters based on Q-learning and pinning consensus algorithm[J].ZHEJIANG ELECTRIC POWER,2025,44(11):72-82.
龚迪阳,唐雅洁,高为举等.基于Q学习和PCA的分布式光伏集群优化调度[J].浙江电力,2025,44(11):72-82. DOI： 10.19585/j.zjdl.202511007.

GONG Diyang,TANG Yajie,GAO Weiju,et al.An optimal dispatch strategy for distributed PV clusters based on Q-learning and pinning consensus algorithm[J].ZHEJIANG ELECTRIC POWER,2025,44(11):72-82. DOI： 10.19585/j.zjdl.202511007.

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An optimal dispatch strategy for distributed PV clusters based on Q-learning and pinning consensus algorithm

DOI：10.19585/j.zjdl.202511007