Research On Optimal Planning Of High Voltage Distribution Network In Taixing District Based On Genetic Simulated Annealing Hybrid Algorithm

With the rapid development of the national economy and the improvement of people's living standards,the domestic demand for electricity is increasing.Distribution network plays an important role in the distribution network.With the growing distribution system load,there is gradual increase in power supply quality and reliability.Reasonable distribution network planning can get huge social and economic benefits.This thesis describes the content of the distribution network load forecasting,distribution network optimization planning and distribution network line layout.According to the load condition of Taixing district,this thesis uses three methods which are annual growth rate method,regression analysis method and time series forecasting method to forecast load in Taixing district.In this thesis,the genetic algorithm and simulated annealing algorithm are studied,and the two algorithms are combined to put forward genetic simulated annealing hybrid algorithm.The correctness and effectiveness of the program are verified by a single power grid planning example.This thesis also introduces the status of Taixing distribution network.The mathematical model of distribution network planning in Taixing district is established with the minimum operating cost as the goal.By using the genetic simulated annealing hybrid algorithm,the optimal planning of space truss is obtained.And the method is put into use.Practice has proved that the current distribution network of Taixing district has gradually developed into a reasonable and modern power network with high reliability of power supply.