Optimization Configuration Method for Grid-Forming and Grid-Following Energy Storage Based on Node Frequency Deviation Coefficient

As the power system develops towards a high proportion of renewable energy sources and power electronic devices, the power system suffers from poor frequency stability due to the lack of synthetic inertia. The grid-forming energy storage can not only improve the frequency dynamic response of the generator and enhance inertia support capability but can also realize the peak regulation and valley filling of the power system. But its relatively high configuration cost restricts its development and construction. Therefore, how to rationally configure the grid-forming energy storage and grid-following energy storage within the power system by means of corresponding technical approaches has become the focal point of academic research. This study proposes a method for evaluating the inertia distribution characteristics of the power system based on the network equations of the power system. Furthermore, the demand for grid-forming energy storage at each node of the power system under different operation scenarios can be quantified according to this method. Finally, an optimization configuration method for an energy storage system that can improve the inertia distribution characteristics of the power system is proposed, and its effectiveness is verified through the 39-bus system.

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Publication Details

Journal
Applied Sciences
Published
2025-05-15
DOI
https://doi.org/10.3390/app15105544
Citations
2
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
1.06
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article

Optimization Configuration Method for Grid-Forming and Grid-Following Energy Storage Based on Node Frequency Deviation Coefficient

Zhenghong Tu, Ying Xu, Wang Le, Kaize Zheng
2 citations
Applied Sciences
Power Systems and Renewable Energy
1.06
article

Optimization Configuration Method for Grid-Forming and Grid-Following Energy Storage Based on Node Frequency Deviation Coefficient

Zhenghong Tu, Ying Xu, Wang Le, Kaize Zheng
article en
2 citations

Abstract

As the power system develops towards a high proportion of renewable energy sources and power electronic devices, the power system suffers from poor frequency stability due to the lack of synthetic inertia. The grid-forming energy storage can not only improve the frequency dynamic response of the generator and enhance inertia support capability but can also realize the peak regulation and valley filling of the power system. But its relatively high configuration cost restricts its development and construction. Therefore, how to rationally configure the grid-forming energy storage and grid-following energy storage within the power system by means of corresponding technical approaches has become the focal point of academic research. This study proposes a method for evaluating the inertia distribution characteristics of the power system based on the network equations of the power system. Furthermore, the demand for grid-forming energy storage at each node of the power system under different operation scenarios can be quantified according to this method. Finally, an optimization configuration method for an energy storage system that can improve the inertia distribution characteristics of the power system is proposed, and its effectiveness is verified through the 39-bus system.

Applied SciencesVol. 15(10)
Harbin Institute of Technology (CN), China Datang Corporation (China) (CN)
Openalex Percentile: Top 21%
Power Systems and Renewable Energy
1.06
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Optimization Configuration Method for Grid-Forming and Grid-Following Energy Storage Based on Node Frequency Deviation Coefficient — Zhenghong Tu, Ying Xu, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS