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| Energy Loss Optimization Method Considering the Time-varying Characteristics of Battery Energy Storage Systems |
| Gan Guo,Junhui Li,Gang Mu, Fellow, IET,Gangui Yan, Senior Member, CSEE |
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| 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%. |
| Key words: Battery energy storage system, battery cluster power allocation, efficiency, time-varying optimization. |
| DOI：10.23919/PCMP.2024.000288 |
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| Fund:This work is supported by Key Program of the National Natural Science Foundation of China (No. 52337004). |
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