(Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University ), Jilin 132012, China)
Foundation:This work is supported by National Natural Science Foundation of China (No. U1766204) and Northeast Electric Power University PhD Research Foundation (No. BSJXM-2019101).
When the large-scale battery energy storage station responds to the small power demand of frequent power system secondary frequency modulation, it is faced with the power distribution problem of secondary frequency modulation among the battery energy storage unit group and the improper distribution would degrade the operation efficiency of energy storage stations. This paper analyzes the influence of charging/discharging power of battery energy storage unit on its energy conversion efficiency, constructs the charging/discharging power-efficiency model of the battery energy storage unit, and proposes the power distribution strategy of battery energy storage unit group to maximize the overall energy conversion efficiency of battery energy storage station. This strategy can improve the operation efficiency of the battery energy storage station, reduce power loss, decrease the response quantity of the battery energy storage unit under the scenario of small frequency modulation power demand, and prolong the life of the battery energy storage station. Simulation analysis verifies the effectiveness of the proposed power distribution strategy, and the comparisions with the proportional power distribution strategy and the maximum charging/discharging power distribution strategy show that the proposed power distribution strategy has advantages in improving the operation efficiency of battery energy storage system and slowing down the battery life decay.
YAN Gangui,LIU Ying,DUAN Shuangming,et al.Power Distribution Strategy for Battery Energy Storage Unit Group Participating in Secondary Frequency Modulation of Power System[J].Automation of Electric Power Systems,2020,44(14):26-34.DOI:10.7500/AEPS20200116008Copy