Internet of Things Detection and Location Based on Remote Communication Fault of Power Consumption Acquisition Module

Abstract

The access of distributed generation makes the single-source radial distribution network become a complex multi-source network. The power flow, network loss, voltage, and so on are also changing. At the same time, it aggravates the complexity of remote communication fault location of remote communication fault power acquisition module based on the Internet of Things. In this paper, a new switching function and evaluation function are used to adapt to the situation of distributed generation access. Considering that the fault section location is a discontinuous problem, the binary particle swarm algorithm is used to make full use of its fast convergence and combine with the operation of diversity preservation to realize the fault section location. The experimental results show that the hybrid algorithm in this paper has a good effect on fault recovery, and has certain advantages and theoretical research value in optimization ability.