考虑双重不确定及综合效能的配电网储能规划决策方法  

Decision method of distribution network energy storage planning considering double uncertainty and comprehensive efficiency

作　　者：邓诗语 刘文霞[1] 刘畅[1] 刘其达 李守强 刘宗歧[1] DENG Shiyu;LIU Wenxia;LIU Chang;LIU Qida;LI Shouqiang;LIU Zongqi(State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources,North China Electric Power University,Beijing 102206,China)

机构地区：[1]华北电力大学,新能源电力系统国家重点实验室,北京102206

出　　处：《储能科学与技术》2022年第1期164-175,共12页Energy Storage Science and Technology

摘　　要：为解决规划场景、决策者偏好等多种不确定性对储能规划影响的问题,提升储能的应用效能,本文提出一种计及双重不确定性的储能规划决策方法。首先考虑正常运行与极端恢复两种应用场景下储能的运行情况,以网损最小为目标进行正常运行优化,以最大程度减少失电损失为目标进行极端情况下的供电恢复,建立多应用场景下的综合评估指标体系。然后,计及规划场景的不确定性以及决策者面对风险的不确定性,引入前景理论对指标矩阵进行处理,以综合前景值为各指标属性值,采用灰靶决策对基于前景值的指标矩阵进行权重确定,根据前景价值最优确定方案。最后,通过算例验证所提储能规划决策方法的有效性与可行性。A decision-making method for energy storage planning considering double uncertainties is proposed herein to solve the influence of planning scenarios,decision maker preferences,and other uncertainties on energy storage planning and improve the application efficiency of the energy storage.First,the energy storage operation in the two scenarios of normal operation and extreme recovery is considered.Daily operation is optimized by minimizing the network loss,while extreme recovery is optimized by minimizing the power loss and mobile costs.Moreover,an index system is proposed to comprehensively evaluate the energy storage contribution to different application scenarios.Second,considering the uncertainties of both the planning scenario and the decision maker facing risk,this study introduces the prospect theory to deal with the index matrix,takes the comprehensive prospect value as the attribute value of each index,uses the gray target decision to determine the index matrix weight based on the prospect value,and finally determines the scheme through the optimal prospect value of the scheme.Finally,an example is given to verify the effectiveness and the feasibility of the proposed method.

关 键 词：储能规划 不确定性 前景理论 灰靶决策 

分 类 号：TM73[电气工程—电力系统及自动化]