基于差分进化算法的配电网网格负荷控制与规划技术研究OACSTPCD

In the grid load control and planning of distribution network,in order to optimize the grid structure of distribution network,such as line loss,power supply quality and load,a grid load control and planning technology based on differential evolution algorithm was proposed.For all kinds of power generation devices in the distribution grid,the power grid planning model was established,the initial population was set and constructed,and the appropriate differential initial vector was selected for mutation processing.On the premise of forming a new individual under the difference increment,in order to improve the diversity of the population of future generations,the differential individual was cross trained by using cross factors to form a new distribution individual.Finally,the greedy selection model was used to evaluate and retain the offspring population,control the active power of controllable load and uncontrollable load,and complete the grid planning.The experimental results show that the load control and planning of distribution grid using differential evolution algorithm are better,the robust performance is superior,and the iteration speed is faster.