Comprehensive Regionalization Control of Power Quality Based on Grey Relation Degree Weight Method

Inhalt:
The comprehensive power quality control is important in distribution network. In this paper, a comprehensive regionalization control of power quality based on grey relation degree weight method (GRDWM) was proposed. In the proposed method, the raw time series was transformed to isometric important feature sequences. With the pre-treatment, the grey relation coefficients of standardized reference sequence and standardized sequences of other nodes can be figured out by grey relational analysis (GRA). Then the grey relation degree weights of indicators of nodes can be calculated with the basic principle of weights. Combined the weight and dimensionless time series data, the comprehensive index of each node can be obtained by weighted summation method. Finally, the correlation degree for the comprehensive data among nodes can be calculated by GRA method, which is applied to figure out the regionalization results and master nodes by hierarchical clustering method. With the proposed method, the power quality in each region can be improved by the master nodes power quality control, meanwhile the power quality control device can be saved. The standard IEEE 14 bus system with harmonics and voltage deviation was utilized to verify the effectiveness of the proposed method.