As the penetration rate of renewable energy sources and the proportion of electric vehicles continue to increase
the uncertainties in the operation of microgrids have increased significantly. Accurate assessment of the influence of uncertainties on the status of microgrids will help improve the safe and stable operation of the system. Considering the uncertainties of source and loads
the probabilistic power flow model of islanded microgrids is established and the global sensitivity analysis indices are introduced. Then
the global sensitivity analysis of islanded microgrids based on sparse polynomial chaos expansion is proposed. The proposed method is used to accurately and quickly identify critical input random variables that affect the operation status of the system. Through the simulation of a 40-bus islanded microgrid with distributed generators
the accuracy and efficiency of the proposed method are verified. The effect of the source and load uncertainty on the power flow of islanded microgrid is analyzed and the importance ranking of input random variables is given.
Global Sensitivity Analysis on State Estimation of Distribution Network and Its Application
Analysis on Probabilistic Joint Flow for Transportation Network and Distribution Network Considering Multiple Uncertainties of Road-Vehicle-Source-Load
基于稀疏多项式混沌展开的孤岛微电网概率潮流计算
基于Sobol’法的孤岛微电网潮流全局灵敏度分析
Related Author
Yutian MENG
Zheng YAN
Xiaoyuan XU
Chen FANG
Xiaotao FANG
Zheng YAN
Han WANG
Xiaoyuan XU
Related Institution
Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University)
Electric Power Research Institute of State Grid Shanghai Municipal Electric Power Company
Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong
Gaoyou Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd.
School of Electric Power Engineering, Nanjing Institute of Technology