Cause Identification Method of Power Quality Problems in Rural Low-Voltage Distribution Network Driven by Mechanism-Data Combination

With the access of high-proportion distributed photovoltaic, the power quality problems of rural low-voltage distribution network, especially the problems of high and low voltage and three-phase imbalance, are becoming more and more obvious, and the influencing factors of power quality problems are increasing and the cause analysis of power quality problems is more complicated. In view of the above problems, this paper proposes a method to identify the causes of power quality problems in rural low-voltage distribution networks based on the joint drive of mechanism data. Firstly, based on the characteristics of irrigation load power consumption in rural distribution network, the genetic sets and judging conditions corresponding to different power quality problems are sorted out, and the genetic criteria of power quality problems are sorted out according to relevant standards; Then, the role of neural network in the cause identification of power quality problems is analyzed, and the threshold correction method of the cause identification model of power quality problems is put forward. Finally, an example of a typical rural low-voltage distribution network proves that the proposed method can effectively improve the accuracy and efficiency of identifying the causes of power quality problems in low-voltage distribution networks.