考虑需量管理的用户侧储能优化配置

随着能源互联网的不断发展,分布式储能使用需求日益增长。基于用户侧电能管理,提出一种考虑优化负荷特性的储能系统规划和调度综合优化模型。在两部制分时电价的背景下,以用户侧储能系统全寿命周期内总的净收益为外层目标函数,综合考虑了储能削峰收益、峰谷套利收益、全寿命周期成本等因素;以储能系统日调度周期内收益为内层目标函数,研究用户侧储能系统各时段充/放电值的优化。结合工程实际,通过遗传算法和混合整数线性规划求解双层优化配置模型,算例测试比较了锂离子和铅炭两种电池的额定容量/功率配置、削峰率和净收益,分析了负荷曲线特性、储能单位成本和能量转换效率储能成本对于经济效益的影响,为用户侧储能系统的优化配置提供建议。

Optimal Configuration of User-side Energy Storage Considering Power Demand Management

With continuous development of energy internet, the demand for distributed energy storage increases.This paper proposes a planning and scheduling model for battery energy storage system(BESS) considering load characteristics optimization based on user-side power management. Under two-part time-sharing electricity price mechanism, the model takes total net proceeds of user-side BESS within its life cycle as the outer level objective function,considering income of peak load shaving, arbitrage income and life cycle cost. The model takes net daily income of BESS as the inner level objective function to optimize the charge-discharge curve of BESS. The genetic algorithm combined with mixed integer linear programming(MILP) is adopted to solve the bi-level optimization model based on a practical project. The configurations, peak shaving rates and net proceeds of lithium ion(Li-ion) battery and lead carbon(Pb-C)battery are compared through case studies, and the effects of load curve characteristics, cost of unit energy storage and energy conversion efficiency on economic benefit are analyzed,and some suggestions on configuration plan of the battery are provided.