Distribution Network Optimization Planning Based on Genetic Algorithms

Abstract

Nowadays, with the development of the times, many times we will use new technology to facilitate our lives, and as a closely related part of our lives - electricity, let alone, it can be said that the pillar of modern society is electricity, if there is no electricity we will collectively return to the original society. However, with the development of the times and the increase of electricity scale, the load of power supply system is getting bigger and bigger, but there is a lot of electricity wasted, so the purpose of this paper is to use genetic algorithms to optimize the distribution network planning. This paper explores how to reasonably optimize the plan by retrieving relevant literature at home and abroad and consulting relevant examples, and then analyzes the experimental data by obtaining some data to simulate the real situation by using sandbox simulation and genetic algorithm modeling. Experimental data show that the distribution network optimization planning scheme designed by genetic algorithm will reduce the original loss by 40%.