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Research on variable parameter power differential charge–discharge strategy of energy storage system in isolated island operating microgrid
International Journal of Low-Carbon Technologies ( IF 2.3 ) Pub Date : 2021-01-07 , DOI: 10.1093/ijlct/ctaa098
Tiezhou Wu 1 , Jin Wang 1 , Yibo Qi 1 , Fumei Rong 1
Affiliation  

This paper proposed an improved particle swarm optimization (PSO) algorithm for the variable parameter power difference charging and discharging strategy of battery energy storage system (BESS). The charge and discharge power of the BESS under different load intervals and state of charge (SOC) intervals are distributed, and the objective functions of peak shaving and valley filling standard deviation and minimum SOC off-line rate are established. The simulation model of peak shaving and valley filling is built, and the results show that the standard deviation of peak shaving and valley filling reduced by 22.58% compared with PSO. The effectiveness and feasibility of the improved PSO are verified.

中文翻译:

孤岛运行微电网储能系统变参数功率微分充放电策略研究

针对电池储能系统(BESS)的变参数功率差充放电策略,提出了一种改进的粒子群算法(PSO)。分布不同负载间隔和荷电状态(SOC)间隔下BESS的充放电功率,并建立了削峰消谷标准偏差和最小SOC离线率的目标函数。建立了削峰填谷的仿真模型,结果表明,与PSO相比,削峰填谷的标准差降低了22.58%。验证了改进后的粒子群优化算法的有效性和可行性。
更新日期:2021-01-07
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