Multiple Stakeholder Partition-Based Interactive-Game Voltage Control for Distribution Networks

To address the overvoltage problem in distribution networks with large-scale photovoltaic (PV) integration, this paper proposes an interactive game-based voltage optimization control strategy based on microgrid cluster partitioning. A multi-agent control architecture is constructed, including a dynamic partitioning layer, a parallel independent optimization layer, and an interactive game optimization layer. In the dynamic partitioning layer, microgrid clusters are formed considering coupling degree, voltage regulation capability, and cluster scale. In the parallel optimization layer, a network reconfiguration-based control model is established for utility-owned microgrids, and a PV active/reactive power regulation model is developed for PV microgrids, enabling independent cluster-level control. In the game optimization layer, a non-cooperative game model is formulated to coordinate voltage regulation among clusters. The effectiveness of the proposed method is demonstrated on an actual 10 kV feeder system.

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Publication Details

Journal
Processes
Published
2025-10-10
DOI
https://doi.org/10.3390/pr13103222
Primary Topic
Optimal Power Flow Distribution
Type
article
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article

Multiple Stakeholder Partition-Based Interactive-Game Voltage Control for Distribution Networks

Chuanliang Xiao, Jiawei Huang, Wenchuan Sun, Ming Du et al.
Processes
Optimal Power Flow Distribution
article

Multiple Stakeholder Partition-Based Interactive-Game Voltage Control for Distribution Networks

Chuanliang Xiao, Jiawei Huang, Wenchuan Sun, Ming Du, Rui Wang, Zhongtang Zhou
article en

Abstract

To address the overvoltage problem in distribution networks with large-scale photovoltaic (PV) integration, this paper proposes an interactive game-based voltage optimization control strategy based on microgrid cluster partitioning. A multi-agent control architecture is constructed, including a dynamic partitioning layer, a parallel independent optimization layer, and an interactive game optimization layer. In the dynamic partitioning layer, microgrid clusters are formed considering coupling degree, voltage regulation capability, and cluster scale. In the parallel optimization layer, a network reconfiguration-based control model is established for utility-owned microgrids, and a PV active/reactive power regulation model is developed for PV microgrids, enabling independent cluster-level control. In the game optimization layer, a non-cooperative game model is formulated to coordinate voltage regulation among clusters. The effectiveness of the proposed method is demonstrated on an actual 10 kV feeder system.

ProcessesVol. 13(10)
Shandong University of Technology (CN), Linyi University (CN), Shanghai Electric (China) (CN)
Openalex Percentile: Top 72%
Optimal Power Flow Distribution
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