An Optimal Operation Strategy for Surge Protective Devices in Li-Ion Based Energy Storage Systems

This paper deals with an optimal operation method for surge protective devices (SPDs) to calculate the maximum continuous operating voltage (UC) and the voltage protection level (UP) by considering the sum of the voltage protection level and the dielectric continuous voltage limit of surge protective devices in order to effectively protect energy storage system (ESS) from switching and lightning surges. This paper also implements a test device for SPDs in ESSs based on the concept of a lightning electromagnetic surge protection measurement system (LPMS) by combining an SPD coordinated with spatial shielding with an ESS configuration. Here, the test device for the SPD in the ESS is composed of a power distribution unit (PDU), uninterruptible power supply (UPS), and a lightning electromagnetic pulse (LEMP) protection device, which combines two units of SPDs and disconnection switches (DSs) connected in parallel with two units of main circuit breakers (MCBs) and noise cut transformers (NCTs) connected in series. From the test results based on the proposed optimal operation method and test device, it is clear that the residual voltage with a third-class combination waveform can be kept within 1.5 kV of the surge voltage limit in all test scenarios, and it is confirmed that the proposed test device for SPDs can protect ESSs from switching and lightning surges. Therefore, it is confirmed that the SPD tested using the proposed method can effectively reduce switching and lightning surges, while the existing SPDs installed in ESS sites cannot protect ESSs from such surges.

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Publication Details

Journal
Electronics
Published
2025-09-13
DOI
https://doi.org/10.3390/electronics14183629
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

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article

An Optimal Operation Strategy for Surge Protective Devices in Li-Ion Based Energy Storage Systems

Min-Haeng Lee, Hyun-Sang You, Se-Jin Kim, Dae-Seok Rho et al.
Electronics
Advanced Battery Technologies Research
article

An Optimal Operation Strategy for Surge Protective Devices in Li-Ion Based Energy Storage Systems

Min-Haeng Lee, Hyun-Sang You, Se-Jin Kim, Dae-Seok Rho, Seong-Eun Rho, Yun-Ho Kim
article en

Abstract

This paper deals with an optimal operation method for surge protective devices (SPDs) to calculate the maximum continuous operating voltage (UC) and the voltage protection level (UP) by considering the sum of the voltage protection level and the dielectric continuous voltage limit of surge protective devices in order to effectively protect energy storage system (ESS) from switching and lightning surges. This paper also implements a test device for SPDs in ESSs based on the concept of a lightning electromagnetic surge protection measurement system (LPMS) by combining an SPD coordinated with spatial shielding with an ESS configuration. Here, the test device for the SPD in the ESS is composed of a power distribution unit (PDU), uninterruptible power supply (UPS), and a lightning electromagnetic pulse (LEMP) protection device, which combines two units of SPDs and disconnection switches (DSs) connected in parallel with two units of main circuit breakers (MCBs) and noise cut transformers (NCTs) connected in series. From the test results based on the proposed optimal operation method and test device, it is clear that the residual voltage with a third-class combination waveform can be kept within 1.5 kV of the surge voltage limit in all test scenarios, and it is confirmed that the proposed test device for SPDs can protect ESSs from switching and lightning surges. Therefore, it is confirmed that the SPD tested using the proposed method can effectively reduce switching and lightning surges, while the existing SPDs installed in ESS sites cannot protect ESSs from such surges.

ElectronicsVol. 14(18)
Korea University of Technology and Education (KR)
Ministry of Trade, Industry and Energy, Korea Institute of Energy Technology Evaluation and Planning
Openalex Percentile: Top 73%
Advanced Battery Technologies Research
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