TITLE:
Wind Power System Risk Assessment Based on Fuzzy Clustering and Copula Function Modeling
AUTHORS:
Mingshun Liu, Lijin Zhao, Liang Huang, Wenhao Han, Changhong Deng, Zhijun Long
KEYWORDS:
Correlation, Fuzzy Clustering, Copula Function, Risk Assessment
JOURNAL NAME:
Energy and Power Engineering,
Vol.9 No.4B,
April
6,
2017
ABSTRACT: According to the characteristics of the correlation of multiple wind farm output, this paper put forwards a modeling method based on fuzzy c-means clustering and the copula function, and correlation wind farms are inserted into IEEE-RTS79 reliability system for risk assessment. By the probabilistic load flow calculated by Monte Carlo simulation method, the probability of the accident is derived, and bus voltage and branch power flow overload risk index are defined in this paper. The results show that this method can realize the modeling of the correlation of wind power output, and the risk index can identify the weakness of the system, which can provide reference for the operation and maintenance personnel.