Study of Optimal Energy Storage Sizing for Voltage Quality Improvement in Distribution Networks

In this paper, a novel method for voltage quality improvement in distribution networks using energy storage devices considering load fluctuations is proposed and the optimal energy storage sizing is studied. Firstly, quantitative measurement models for the benefit and cost of distributed energy storage devices are discussed considering load fluctuations. Then, concepts of economic curves are used in this paper to establish novel long-term cost-benefit curves and the optimal capacity of the distributed energy storage device is obtained through curve analysis. Finally, an example is carried out based on the modified IEEE33 node system to verify the feasibility of the method proposed in this paper, and the parameter sensitivity of this method is studied.

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Publication Details

Published
2025-08-22
DOI
https://doi.org/10.1109/pges66344.2025.11193457
Primary Topic
Power Systems and Renewable Energy
Type
article
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Study of Optimal Energy Storage Sizing for Voltage Quality Improvement in Distribution Networks

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Study of Optimal Energy Storage Sizing for Voltage Quality Improvement in Distribution Networks

Hua Yang, Hua Zhang, Qian Xie, Chang Liu, Lin Xu
article en

Abstract

In this paper, a novel method for voltage quality improvement in distribution networks using energy storage devices considering load fluctuations is proposed and the optimal energy storage sizing is studied. Firstly, quantitative measurement models for the benefit and cost of distributed energy storage devices are discussed considering load fluctuations. Then, concepts of economic curves are used in this paper to establish novel long-term cost-benefit curves and the optimal capacity of the distributed energy storage device is obtained through curve analysis. Finally, an example is carried out based on the modified IEEE33 node system to verify the feasibility of the method proposed in this paper, and the parameter sensitivity of this method is studied.

Openalex Percentile: Top 67%
Power Systems and Renewable Energy
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