论文摘要
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.
论文目录
文章来源
类型: 期刊论文
作者: Yunhao LI,Jianxue WANG,Chenjia GU,Jinshan LIU,Zhengxi LI
来源: Journal of Modern Power Systems and Clean Energy 2019年06期
年度: 2019
分类: 工程科技Ⅱ辑
专业: 动力工程,电力工业
单位: School of Electrical Engineering,Xi'an Jiaotong University,State Grid Qinghai Electric Power Company
基金: supported by National Key Research and Development Program of China (No.2017YFB0902200),the Science and Technology Project of State Grid Corporation of China (No. 5228001700CW)
分类号: TM614;TK02
页码: 1721-1734
总页数: 14
文件大小: 1487K
下载量: 11