Real time voltage regulation technique for distribution networks utilizing robust reinforcement learning

GONG Jianfeng; QI Yi; HAN Yiming; ZHANG Bin; ZHANG Shihao; HAN Zhaoyang; YIN Ziyang

doi:10.3969/j.issn.1672-3643.2025.01.006

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Real time voltage regulation technique for distribution networks utilizing robust reinforcement learning

更新时间：2025-10-13

- Real time voltage regulation technique for distribution networks utilizing robust reinforcement learning
- Ningxia Electric Power Issue 1, (2025)
- 作者机构：
  
  1. 国网宁夏电力有限公司经济技术研究院,宁夏,银川,750011
  2. 天津大学,天津,300072
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1672-3643.2025.01.006
  CLC：
- Published Online：15 April 2025，
  
  Published：2025
- 稿件说明：
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GONG Jianfeng, QI Yi, HAN Yiming, et al. Real time voltage regulation technique for distribution networks utilizing robust reinforcement learning[J]. Ningxia electric power, 2025, (1).
DOI：

GONG Jianfeng, QI Yi, HAN Yiming, et al. Real time voltage regulation technique for distribution networks utilizing robust reinforcement learning[J]. Ningxia electric power, 2025, (1). DOI： 10.3969/j.issn.1672-3643.2025.01.006.

摘要

分布式光伏的大规模接入对配电网的电压控制提出了严峻挑战，为此，提出了一种基于鲁棒强化学习的配电网电压实时控制方法，以应对量测不确定性带来的影响。首先，建立以电压偏差最小为目标的配电网电压控制模型，并将其转化为马尔可夫决策问题；其次，通过设置攻击智能体对观测状态施加扰动，模拟量测误差；最后，设计了一种同步训练、异步学习的求解机制，提升智能体的鲁棒性。在IEEE 33节点系统上的仿真结果表明，所提方法具有良好的有效性和可靠性。

Abstract

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 agents robustness.The simulation findings for the IEEE 33 bus system indicate that the proposed solution is both effective and reliable.

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