基于智能电表数据的电池储能容量配置优化

Optimization of Battery Energy Storage Capacity Configuration Based on Smart Meter Data

针对电池储能系统的储能容量优化问题,本文基于智能电表获取用户的用电数据,并用不同方法获得典型日负荷,同时考虑了电池储能系统的投资成本和维护成本,结合基于分时电价的充放电策略,建立了以最大收益为目标的最优化模型。最后,使用遗传算法结合可行性法则对算例进行了求解,对比了使用不同方法得到的典型日负荷,使用最大日负荷法可得到更多的收益。

Optimization of energy storage capacity for battery energy storage systems,this paper is based on the smart meter to obtain the user’s electricity consumption data,and uses different methods to obtain typical daily load profile,at the same time,considering the investment cost and maintenance cost of the battery energy storage system,combined with the charging and discharging strategy based on the time-of-use price,an optimization model with the goal of maximizing profit was established.Finally,the genetic algorithm combined with the feasibility rule is used to solve the calculation example,and typical daily load obtained profile by using different methods is compared,and the maximum daily load method can be used to obtain more profits.