A Comprehensive Evaluation of Distributed Photovoltaic Power Quality Based on Time Probability Distribution

Abstract

As the grid-connected capacity of distributed photovoltaic (PV) continues to increase, key power quality problems such as voltage quality and waveform quality of distribution network caused by PV connection cannot be ignored. PV output has randomness and fluctuation, and the capacity of the low-voltage distribution network is relatively small, so distributed PV has a relatively large impact on power quality. Therefore, it is necessary to comprehensively evaluate PV power quality. First, based on the probability distribution of time, the distributed PV node data is processed. Then, the analytic hierarchy process and improved entropy weight method are used to get the comprehensive weight of the probability index matrix, so that the weight value of each power quality index can be allocated according to the power quality fluctuation of the connection point. At last, the traditional ideal solution method is improved, and the improved ideal solution method is used to comprehensively evaluate the distributed PV power quality.