A power regulation method for improving operation and maintenance efficiency of large-scale dynamic reconfigurable battery energy storage power stations

doi:10.11930/j.issn.1004-9649.202511032

Abstract

Abstract:

Dynamically reconfigurable batteries can achieve intrinsically safe operation through flexible topological reconfiguration by an internal power electronics network. However, the real-time and independent reconfiguration of the battery network inside each energy storage unit leads to disparate operating states and inconsistent constraint boundaries among the massive energy storage units in the corresponding large-scale energy storage power stations, which significantly increases the operation and maintenance costs of the power stations. To address this issue, this paper proposes a dynamic power optimization control method that fully accounts for the operating states and multidimensional dynamic boundary constraints of the massive energy storage units in large-scale dynamically reconfigurable battery energy storage stations. The method fully takes into account the constraint boundaries of energy storage units after each dynamic reconfiguration, and establishes a system operation and maintenance optimization model incorporating key factors such as the degradation cost, temperature regulation cost, operation and maintenance cost of dynamically reconfigurable batteries, and the state of charge balance. In addition, a multi-variate fixed weight method is applied to determine the optimization weights of each factor. Finally, case study simulations demonstrate that the proposed method can significantly improve the operation and maintenance economy of the power station while ensuring the independent operation constraints of the massive energy storage units in the dynamically reconfigurable battery energy storage power station, and simultaneously enhance the consistency of their state parameters.

Key words: battery energy storage system, power regulation method, dynamic reconfigurability, multi-objective optimization

HAN Chenhui, ZHANG Chengjie, WANG Jinyu, WANG Songtao, CI Song, ZHOU Yanglin. A power regulation method for improving operation and maintenance efficiency of large-scale dynamic reconfigurable battery energy storage power stations[J]. Electric Power, 2026, 59(6): 48-59.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202511032

https://www.electricpower.com.cn/EN/Y2026/V59/I6/48

Figures/Tables 15

Fig.1 Dynamic reconfigurable battery energy storage power station architecture

Fig.2 Single-unit dynamic reconfigurable energy storage battery system

Fig.3 DRBN control framework

Fig.4 Optimization algorithm workflow

Table 1 Related parameters of battery units of energy storage power station

相关参数	初始SOC/%	放电深度/%	放电效率/%	直流电压/V
电池组1	85	80	85	800
电池组2	80	80	85	800
电池组3	88	80	85	800
电池组4	75	75	85	750
电池组5	78	75	85	750
电池组6	82	75	85	750

Fig.5 Simulation experiment procedure

Fig.6 Output power allocation result of three scheduling methods

Fig.7 Comparison of battery SOC before and after power output under different scheduling methods

Fig.8 Comparison of multiple scheduling costs under different scheduling methods

Fig.9 Convergence curves and comparative analysis of convergence time over 50 independent run iterations

Table 2 Dynamic power scheduling instructions and power allocation results

时间/min	0~5	5~10	10~15
功率指令	100	90	110
储能单元1/kW	23.54	13.91	18.95
储能单元2/kW	13.11	16.87	17.24
储能单元3/kW	27.75	15.04	18.30
储能单元4/kW	8.00	12.20	19.96
储能单元5/kW	10.14	16.53	17.46
储能单元6/kW	17.47	15.45	18.08

Fig.10 Power response of each energy storage unit under dynamic scheduling

Fig.11 SOC state of each energy storage unit after power output under dynamic scheduling

Fig.12 Comparison of power allocation results under different scheduling strategies

Fig.13 Comparison of total scheduling costs under different scheduling strategies

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