Research on the configuration strategy of active support long-and short-term energy storage devices based on ESD-considered short circuit ratio

Although the evaluation of system strength under high penetration of renewable energy sources (RESs) has been widely studied, traditional short-circuit ratio (SCR) indicators mainly focus on the interactions among RESs and are concentrated on steady-state research, neglecting the dynamic regulation effect of energy storage devices (ESDs) on system stability. In addition, most of the existing optimization methods aim to improve economic efficiency and lack system stability analysis based on SCR quantification. Therefore, this paper proposes an ESD-considered short-circuit ratio (ECSCR) that incorporates the contribution of ESDs to the short-circuit capacity of nodes. A bi-layer optimization strategy for the active support long-and short-term energy storage device is developed. The upper-layer optimizes the installation locations of ESDs by maximizing the minimum ECSCR (MinECSCR) on the RES buses, while the lower-layer uses the Newton-Raphson algorithm to dynamically adjust the power distribution of ESD to balance stability and economy. Specifically, when the ECSCR is less than the critical short-circuit ratio (CSCR), the fast-response flywheel energy storage (FES) and battery energy storage (BES) prioritize the restoration of stability; when the ECSCR is greater than the CSCR, the lower-cost thermal energy storage (TES) serves as the main power generation unit to minimize operating costs. The verification of the improved IEEE 9-bus, 39-bus system, and 14-bus system shows that compared with traditional SCR indicators, the proposed ECSCR can significantly enhance the nodal strength and reduce operating costs while ensuring system stability.

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Publication Details

Journal
Scientific Reports
Published
2025-11-03
DOI
https://doi.org/10.1038/s41598-025-22289-4
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.21

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Research on the configuration strategy of active support long-and short-term energy storage devices based on ESD-considered short circuit ratio

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article

Research on the configuration strategy of active support long-and short-term energy storage devices based on ESD-considered short circuit ratio

Rui Wang, Qiuye Sun, Zhengmao Li, Peng Wang, Bin Hai
article en
1 citations

Abstract

Although the evaluation of system strength under high penetration of renewable energy sources (RESs) has been widely studied, traditional short-circuit ratio (SCR) indicators mainly focus on the interactions among RESs and are concentrated on steady-state research, neglecting the dynamic regulation effect of energy storage devices (ESDs) on system stability. In addition, most of the existing optimization methods aim to improve economic efficiency and lack system stability analysis based on SCR quantification. Therefore, this paper proposes an ESD-considered short-circuit ratio (ECSCR) that incorporates the contribution of ESDs to the short-circuit capacity of nodes. A bi-layer optimization strategy for the active support long-and short-term energy storage device is developed. The upper-layer optimizes the installation locations of ESDs by maximizing the minimum ECSCR (MinECSCR) on the RES buses, while the lower-layer uses the Newton-Raphson algorithm to dynamically adjust the power distribution of ESD to balance stability and economy. Specifically, when the ECSCR is less than the critical short-circuit ratio (CSCR), the fast-response flywheel energy storage (FES) and battery energy storage (BES) prioritize the restoration of stability; when the ECSCR is greater than the CSCR, the lower-cost thermal energy storage (TES) serves as the main power generation unit to minimize operating costs. The verification of the improved IEEE 9-bus, 39-bus system, and 14-bus system shows that compared with traditional SCR indicators, the proposed ECSCR can significantly enhance the nodal strength and reduce operating costs while ensuring system stability.

Scientific ReportsVol. 15(1)
Nanyang Technological University (SG), Northeastern University (CN), Aalto University (FI)
Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 15%
Microgrid Control and Optimization
1.21
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