Distributed Energy Storage Configuration Method for AC/DC Hybrid Distribution Network Based on Bi-Level Optimization

Aiming at prominent voltage quality problems in AC/DC hybrid distribution networks with a high proportion of distributed energy and diversified loads, this paper proposes a bi-level energy storage system (ESS) optimization model. The upper level optimizes the ESS configuration with the goal of minimizing the cost, and the lower level optimizes the real-time running state of the ESS. Considering multiple constraints, the improved PSO algorithm and the Gurobi solver are used to solve the problem. The test on the modified IEEE-33 node system verified that the model effectively improved voltage quality and reduced power system costs, which provides theoretical and engineering support for the scientific configuration of the ESS.

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Publication Details

Journal
Batteries
Published
2025-12-26
DOI
https://doi.org/10.3390/batteries12010009
Primary Topic
Optimal Power Flow Distribution
Type
article
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Distributed Energy Storage Configuration Method for AC/DC Hybrid Distribution Network Based on Bi-Level Optimization

Zhenhao Wang, Mengke Gao, J. Zhao, Jianqi Wang et al.
Batteries
Optimal Power Flow Distribution
article

Distributed Energy Storage Configuration Method for AC/DC Hybrid Distribution Network Based on Bi-Level Optimization

Zhenhao Wang, Mengke Gao, J. Zhao, Jianqi Wang, Yang Li, Xu Zhao, Yinfeng Sun
article en

Abstract

Aiming at prominent voltage quality problems in AC/DC hybrid distribution networks with a high proportion of distributed energy and diversified loads, this paper proposes a bi-level energy storage system (ESS) optimization model. The upper level optimizes the ESS configuration with the goal of minimizing the cost, and the lower level optimizes the real-time running state of the ESS. Considering multiple constraints, the improved PSO algorithm and the Gurobi solver are used to solve the problem. The test on the modified IEEE-33 node system verified that the model effectively improved voltage quality and reduced power system costs, which provides theoretical and engineering support for the scientific configuration of the ESS.

BatteriesVol. 12(1)
State Grid Corporation of China (China) (CN), Northeast Electric Power University (CN)
Affordable and clean energy
Openalex Percentile: Top 42%
Optimal Power Flow Distribution
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