Intensive Management of Distribution Network Scheduling Operation Based on Artificial Intelligence

Abstract

How to efficiently manage the distribution network and intelligently dispatch the power grid is an important problem to be solved by the current power grid. The purpose of this paper is to study the analysis and application of intensive management of distribution network dispatching operation based on artificial intelligence. First, the basic theory of genetic algorithm is briefly introduced. Then, a mathematical model of distribution network in region M with distributed distribution network M is proposed with the minimum network loss as the optimization objective function, and the range of its parameters is set. Then, the improved genetic algorithm proposed in this paper for the power dispatching operation management of the distribution network in the M area with the distributed distribution network is explained. Based on the network opening and closing status and simplicity, the binary encoding is used, and the corresponding encoding rules are used to shorten the time. Chromosome length, based on the ring network where the tie switch is located to encode chromosomes and restrict the crossover operation to be performed in blocks to reduce the generation of infeasible solutions; the initial population is generated by random generation to ensure population diversity and obtain the global optimal solution; compare the system before and after improvement The effect of intensive management of distribution network scheduling and operation, the improved reliability of power supply in the core area is 99.98%.