A Hierarchical Voltage Control Strategy for Distribution Networks Using Distributed Energy Storage

This paper presents a novel hierarchical voltage control framework for distribution networks to mitigate voltage violations by coordinating distributed energy storage systems (DESSs). The framework establishes a two-layer architecture that integrates centralized optimization with distributed execution. In the upper layer, a model predictive control (MPC)-based controller computes optimal power dispatch trajectories for critical buses, effectively decoupling slow-timescale optimization from real-time adjustments. In the lower layer, a broadcast-based controller dispatches parameterized power regulation signals, enabling autonomous active power tracking by the DESS units. This hierarchical design explicitly addresses the scalability limitations of conventional centralized control and the cyber vulnerabilities of peer-to-peer distributed strategies. The effectiveness of the proposed control framework is verified on the modified IEEE 34-bus and 123-bus test feeder. The results show that the proposed method can mitigate the average voltage violation by 93.7% and show control robustness even under 60% communication loss condition.

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Publication Details

Journal
Electronics
Published
2025-05-06
DOI
https://doi.org/10.3390/electronics14091888
Citations
4
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
4.86
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article

A Hierarchical Voltage Control Strategy for Distribution Networks Using Distributed Energy Storage

Wenjie Xiong, Chao Ma, Zhiyuan Tang, Qibo Wang et al.
4 citations
Electronics
Microgrid Control and Optimization
4.86
article

A Hierarchical Voltage Control Strategy for Distribution Networks Using Distributed Energy Storage

Wenjie Xiong, Chao Ma, Zhiyuan Tang, Qibo Wang, Ziwei Li, Yonghua Xiong
article en
4 citations

Abstract

This paper presents a novel hierarchical voltage control framework for distribution networks to mitigate voltage violations by coordinating distributed energy storage systems (DESSs). The framework establishes a two-layer architecture that integrates centralized optimization with distributed execution. In the upper layer, a model predictive control (MPC)-based controller computes optimal power dispatch trajectories for critical buses, effectively decoupling slow-timescale optimization from real-time adjustments. In the lower layer, a broadcast-based controller dispatches parameterized power regulation signals, enabling autonomous active power tracking by the DESS units. This hierarchical design explicitly addresses the scalability limitations of conventional centralized control and the cyber vulnerabilities of peer-to-peer distributed strategies. The effectiveness of the proposed control framework is verified on the modified IEEE 34-bus and 123-bus test feeder. The results show that the proposed method can mitigate the average voltage violation by 93.7% and show control robustness even under 60% communication loss condition.

ElectronicsVol. 14(9)
Sichuan University (CN)
Openalex Percentile: Top 5%
Microgrid Control and Optimization
4.86
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A Hierarchical Voltage Control Strategy for Distribution Networks Using Distributed Energy Storage — Wenjie Xiong, Chao Ma, et al. · Electronics (2025) | TGRS Research Map | TGRS