A Hybrid Regional Power Quality Control for Distribution Network Based on Electrical Distance and Power Quality Grey Correlation
摘要
In this paper, a hybrid regional power quality control based on electrical distance similarity and grey correlation analysis is proposed for distribution network. The node electrical distance similarity matrix and the power quality correlation matrix are combined in the proposed control scheme. The entropy weight method is used to calculate the base weights of the two matrices. System dynamic characteristics and load fluctuation rate are introduced to dynamically adjust the composite weights for a comprehensive correlation matrix construction. Then the hierarchical clustering algorithm is adopted to the regional power quality control of the distribution network. The proposed method effectively identifies regions with similar power quality and tight electrical connections, which can improve power quality of distribution network. The IEEE-14 power system is used to validate the effectiveness of the proposed method.