Investment optimization of grid-scale energy storage for supporting different wind power utilization levels

• 作者: Chenjia GU Jianxue WANG Jinshan LIU Yunhao LI Zhengxi LI
• 来源期刊: 现代电力系统与清洁能源学报(英文)
• 学科: 工学
• 关键词: Wind POWER Capacity investment Energy storage POWER system planning CHANCE CONSTRAINT
• 年，卷（期）: 2019,（6）
• 页码范围: 1721-1734
• 页数: 14页
• 分类号: TM614

摘要

With the large-scale integration of renewable generation,energy storage system(ESS)is increasingly regarded as a promising technology to provide sufficient flexibility for the safe and stable operation of power systems under uncertainty.This paper focuses on grid-scale ESS planning problems in transmission-constrained power systems considering uncertainties of wind power and load.A scenario-based chance-constrained ESS planning approach is proposed to address the joint planning of multiple technologies of ESS.Specifically,the chance constraints on wind curtailment are designed to ensure a certain level of wind power utilization for each wind farm in planning decision-making.Then,an easy-to-implement variant of Benders decomposition(BD)algorithm is developed to solve the resulting mixed-integer nonlinear programming problem.Our case studies on an IEEE test system indicate that the proposed approach can co-optimize multiple types of ESSs and provide flexible planning schemes to achieve the economic utilization of wind power.In addition,the proposed BD algorithm can improve the computational efficiency in solving this kind of chance-constrained problems.