基于信息间隙决策理论的储能电站鲁棒优化配置  

Robust optimal configuration of energy storage power plant based on information gap decision theory

作　　者：潘乐真 赵璞 郑思源 张雪松 PAN Lezhen;ZHAO Pu;ZHENG Siyuan;ZHANG Xuesong(State Grid Wenzhou Power Supply Company of Zhejing Electric Power Co.,Ltd.,Wenzhou 325200,China;State Grid Zhejiang Electric Power Co.,Ltd.Research Institute,Hangzhou 310014,China)

机构地区：[1]国网浙江省电力有限公司温州供电公司,浙江温州325200 [2]国网浙江省电力有限公司电力科学研究院,浙江杭州310014

出　　处：《电力工程技术》2021年第6期165-172,共8页Electric Power Engineering Technology

基　　金：国家自然科学基金资助项目(51877039)。

摘　　要：储能电站在转移电力需求、平抑可再生能源和负荷波动等方面发挥着重要的作用,储能电站容量优化配置是其在规划建设过程中所需要解决的关键问题。文中提出一种基于信息间隙决策理论(IGDT)的双层鲁棒优化配置模型,为解决系统在运行过程中的不确定参数带来的负面影响,模型下层搭建以经济性为目标的储能电站日前鲁棒优化运行模型;模型上层引入IGDT将经济性和鲁棒性相结合,在一定的预期目标下最大化系统能够承受的波动性,使用Benders分解法求解模型,并以IEEE 33节点配电网系统验证方案有效性,结果表明所提方案可以兼顾经济性与鲁棒性,为储能规划提供参考依据。Energy storage power station plays an important role in transferring power demand,stabilizing renewable energy and load fluctuation.The optimal allocation of energy storage power station is the key problem to be solved in the planning and construction process.In this paper,a two-layer robust optimal configuration model based on information gap decision theory(IGDT)is proposed.In order to reduce the negative impact brought by uncertain parameters in the operation process of the system,a day-ahead robust optimal operation model of energy storage power station is built at the bottom of the model to impove elonomic efficiency.IGDT is introduced in the upper layer of the model to combine economy and robustness,and thus maximizing the volatility for the system under certain expected objectives.Benders decomposition method is used in the model solving.Finally,the effectiveness and feasibility of the proposed model are verified through the analysis of numerical examples.

关 键 词：储能电站 鲁棒性 双层规划 日前优化 经济性 信息间隙决策理论(IGDT) BENDERS分解法 

分 类 号：TM732[电气工程—电力系统及自动化]