电气传动2024，Vol.54Issue(5)：34-40,7.DOI:10.19457/j.1001-2095.dqcd24753
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
Research on Grid Load Control and Planning Technology of Distribution Network Based on Differential Evolution Algorithm
摘要
Abstract
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.关键词
差分进化算法/负荷控制/配电网/规划技术/优化控制模型/电压特点Key words
differential evolution algorithm/load control/distribution network/planning technology/optimization control model/voltage characteristics分类
信息技术与安全科学引用本文复制引用
杨毅东..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[J].电气传动,2024,54(5):34-40,7.基金项目
国网甘肃省电力公司科技项目(SGGSKYOOWYJS2000124) （SGGSKYOOWYJS2000124）
