区分工作日和非工作日负荷的用户侧储能多目标优化策略

在两部制电价下，为了更高效地利用储能提升用户的综合效益，通过构建需量管理、储能收益、负荷波动幅度增加率及SOC过程控制模型，提出了区分工作日和非工作日负荷的用户侧储能多目标优化策略，可有效实现降低用户月度用电成本、降低负荷波动幅度增加率及减少储能充放电及待机状态转换次数的多目标优化，并利用Matlab调用Cplex求解器对某大工业用户进行算例优化，验证了策略的可行性。

Multi-objective Optimization Strategy of User-Side Energy Storage Operation Differentiating Working / Nonworking Load

Under the two-part electricity price, in order to make more efficient use of energy storage and improve the comprehensive benefits obtained by users, a user side energy storage multi-objective optimization strategy distinguishing working / nonworking load is proposed by constructing demand management, energy storage income, load fluctuation increase rate and SOC process control model. It can effectively realize the multi-objective optimization of reducing the monthly power consumption cost of users, reducing the increase rate of load fluctuation range and reducing the times of energy storage charge and discharge and standby state conversion. An example of a large industrial user is optimized by calling CPLEX solver with MATLAB to verify the feasibility of the strategy.