Optimal Planning Of Distribution Grid Based On Improved Immune Genetic Algorithm

Optimization planning of distribution grid is a very important content in the planning of urban distribution network.The goal of traditional optimization planning is to consider the minimum operating cost of distribution grid,and the latest research direction is to consider the economy Sexual and reliability of these two goals.Distribution grid optimization planning is a combinatorial optimization problem,with the increasing distribution of the distribution line,the scale of increasing,distribution grid optimization plan there will be a combination of explosion problems.How to construct a more suitable optimization model,how to solve the problems encountered in the optimization planning of distribution network grid quickly and efficiently,still need further study.This paper first analyzes the principles and methods of the basic genetic algorithm,and then analyzes the limitations of the basic genetic algorithm.At the same time,the immune algorithm is introduced.And the two algorithms are integrated with each other to obtain the immune genetic algorithm.And analyzes the limitations of conventional immune genetic algorithms and improves them in areas where they are not perfect.The main improvements are as follows:(1)the initial population is composed of network topology analysis method,which makes the convergence speed of the algorithm be improved significantly.(2)In the genetic operation,adaptive crossover and mutation are introduced to avoid premature and improve the ability of searching.(3)The vaccines were vaccinated against the two populations to prevent population degradation.After analyzing the algorithm,this paper optimizes the planned mathematical model,and constructs the objective function which not only considers the economy but also considers the reliability.And the calculation method of the network loss required for the reliability analysis is studied.Through the analysis of the typical case,the pre-push back-generation tide flow method is used to calculate the network loss.Finally,based on the improved immune genetic algorithm,mathematical optimization model and network loss calculation method,a 10 kV medium voltage distribution network in a certain area is used to verify the feasibility of the improved immune genetic algorithm and the other algorithms The advantages.