Density-based Global Sensitivity Analysis of Islanded Microgrid Loadability Considering Distributed Energy Resource Integration

作     者：Zhuoxin Lu Xiaoyuan Xu Zheng Yan Han Wang Zhuoxin Lu;Xiaoyuan Xu;Zheng Yan;Han Wang

作者机构：Key Laboratory of Control of Power Transmission and Conversion of Ministry of EducationShanghai Jiao Tong UniversityShanghaiChina 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2020年第8卷第1期

页      面：94-101页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

基　　金：supported by National Natural Science Foundation of China(No.51707115) 

主　　题：Islanded microgrids(IMGs) renewable energy global sensitivity analysis uncertainty 

摘      要：With the proliferation of renewable energy and electric vehicles(EVs),there have been increasing uncertainties in power *** the influencing random variables will reduce the effort in uncertainty modeling and improve the controllability of power *** this paper,a density-based global sensitivity analysis(GSA)method is proposed to evaluate the influence of uncertainties on islanded microgrids(IMGs).Firstly,the maximum IMG loadability evaluation model is established to assess the distance from the current operation point to the critical operation ***,the Borgonovo method,which is a density-based GSA method,is used to evaluate the influence of input variables on IMG ***,to improve GSA efficiency,a modified Kriging model is used to obtain a surrogate model of IMG loadability,and Borgonovo indices are calculated based on the surrogate ***,the proposed method is tested on a 38-bus IMG *** results are compared with those considering other methods to validate the effectiveness of the proposed *** storage systems are considered to diminish the influence of critical uncertainties on IMG operation.