| The power industry is a very important sector of the national economy. At the same time, it is an important driving force in the development of modern society. With the rapid development of the national economy and people’s living standards improving rapidly, The social demand for electricity increasing fast. At the same time, the power industry is a great need for investment funds career, and the consumption of primary energy.If reasonable power system planning, we will be able to get attractive economic benefits, reduce unnecessary losses, at the same time we will get great social benefits. However, if the power system planning imprudent its problems, losses will shine greatly inconvenience to people’s lives at the same time, it can not guarantee people’s lives and also can not guarantee the national interest. Therefore, how to improve the level of power system planning will naturally become an urgent task. Now, many scholars and experts study the power grid planning, but also get many breakthroughs. However, as a complex combination of optimization problems, there are many difficult problems in the process of solving grid planning. For example, the dimension of the problem, as well as local optimal and constraints and objective function, they are hard to deal with.In this paper, a genetic algorithm and ant colony algorithm fuse together, and improve two algorithms. Through improved genetic algorithm crossover and mutation factor and Improved ant colony algorithm for path selection policy. DC power flow calculation trend to make up for the defects of a single algorithm for solving the problem. Use this algorithm can not only reduce the probability of occurrence of local optimal solution and can make the algorithm converges faster. Improve the accuracy of final solution effectively. At the same time make the speed of optimal solution faster and improve the efficiency of the power grid planning effectively.This article will use an improved fusion algorithm in grid planning in order to verify the algorithm’s reasonable prospect on the subject... |
