Energy Loss Optimization Method Considering the Time-varying Characteristics of Battery Energy Storage Systems

A time-varying optimization strategy for battery cluster power allocation is proposed to minimize energy loss in battery energy storage systems (BESS). First, the time-dependent loss characteristics of both storage and non-storage components in BESS are analyzed. Based on this analysis, steady-state and transient methods for evaluating battery loss are proposed. Second, considering the distinct time-varying characteristics of various BESS components, the load-rate vs. equivalent-efficiency curve and the current-loss power component gradient field are introduced as analytical tools. These tools facilitate the derivation of optimization path for both time-varying and time-invariant energy components of BESS. Building on this foundation, a time-varying optimization strategy for battery cluster power allocation is developed, aiming to minimize energy loss while fully accounting for the dynamic characteristics of BESS. Compared to real-time optimization, this strategy prioritizes global optimality in the time domain, mitigates the risk of dimensionality curse, and enhances BESS efficiency. Finally, a Simulink/Simscape model is established based on real-world data to simulate internal component losses within BESS. The effectiveness of the proposed strategy is validated under a peak shaving scenario. Results indicate that, after optimization, the annual operational loss of BESS is reduced by 2.40%, while the energy round-trip efficiency is improved by 0.59%.

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Publication Details

Journal
Protection and Control of Modern Power Systems
Published
2025-05-30
DOI
https://doi.org/10.23919/pcmp.2024.000288
Citations
3
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
1.60
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article

Energy Loss Optimization Method Considering the Time-varying Characteristics of Battery Energy Storage Systems

Gang Mu, Junhui Li, Gan Guo, Gangui Yan
3 citations
Protection and Control of Modern Power Systems
Power Systems and Renewable Energy
1.60
article

Energy Loss Optimization Method Considering the Time-varying Characteristics of Battery Energy Storage Systems

Gang Mu, Junhui Li, Gan Guo, Gangui Yan
article en
3 citations

Abstract

A time-varying optimization strategy for battery cluster power allocation is proposed to minimize energy loss in battery energy storage systems (BESS). First, the time-dependent loss characteristics of both storage and non-storage components in BESS are analyzed. Based on this analysis, steady-state and transient methods for evaluating battery loss are proposed. Second, considering the distinct time-varying characteristics of various BESS components, the load-rate vs. equivalent-efficiency curve and the current-loss power component gradient field are introduced as analytical tools. These tools facilitate the derivation of optimization path for both time-varying and time-invariant energy components of BESS. Building on this foundation, a time-varying optimization strategy for battery cluster power allocation is developed, aiming to minimize energy loss while fully accounting for the dynamic characteristics of BESS. Compared to real-time optimization, this strategy prioritizes global optimality in the time domain, mitigates the risk of dimensionality curse, and enhances BESS efficiency. Finally, a Simulink/Simscape model is established based on real-world data to simulate internal component losses within BESS. The effectiveness of the proposed strategy is validated under a peak shaving scenario. Results indicate that, after optimization, the annual operational loss of BESS is reduced by 2.40%, while the energy round-trip efficiency is improved by 0.59%.

Protection and Control of Modern Power SystemsVol. 10(6)
Electric Power University (VN), Northeast Electric Power University (CN)
Affordable and clean energy
Openalex Percentile: Top 16%
Power Systems and Renewable Energy
1.60
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