Research on Comprehensive Evaluation and Prediction of Power Quality in Low Voltage Area

Abstract

The results of comprehensive evaluation of power quality are clearly time-series and nonlinear, making it feasible to study future trends based on historical data. In this paper, the comprehensive evaluation and prediction of power quality are linked, and the purpose is to predict the overall change trend of the power quality in a period of time in the future while evaluating it of the low voltage areas. In our scheme, we first use DS-AHP (Dempster-Shafer Analytic Hierarchy Process, DS-AHP)) to calculate the weight of the indicator to reduce the error caused by subjectivity. Secondly, the power quality is analyzed based on the radar chart, and the sample set is constructed with the comprehensive evaluation score obtained. Finally, we use PSO(Particle Swarm optimization, PSO) to optimize the parameters of SVM(Support Vector Machine, SVM), and establish an optimal prediction model that can reflect the change trend of power quality. Experiments show that the scheme for evaluating and predicting power quality proposed in this paper has good effectiveness and accuracy, and it can provide strong technical support for grasping the variation law of power quality in low voltage areas.