摘要
配电网无功优化是保证其经济安全运行的重要措施。针对配电网无功优化问题,文章提出基于天牛须搜索算法的配电网无功优化策略,同时,引入自适应变化的步长因子改善BAS算法的迭代速度。最后,在Matlab中引入IEEE33节点配电网系统对基于粒子群算法、天牛须搜索算法和改进天牛须搜索算法的无功优化策略进行仿真验证并做对比分析,仿真结果表明,基于改进天牛须搜索算法的无功优化策略性能更优。
Reactive power optimization of the distribution network is an important measure to ensure its economic and safe operation.In view of the reactive power optimization problem of distribution network,a reactive power optimization strategy based on the beetle antennae search algorithm is proposed in this paper.At the same time,it introduces an adaptively changing step size factor to improve the iteration speed of the BAS algorithm.Finally,the IEEE33-node distribution network system is introduced in Matlab to simulate and verify the reactive power optimization strategy based on the particle swarm optimization algorithm,the beetle antennae search algorithm,and the improved beetle antennae search algorithm.The simulation results show that the performance of the reactive power optimization strategy based on the improved beetle antennae search algorithm is better.
作者
董煜
王小会
李晓青
DONG Yu;WANG Xiaohui;LI Xiaoqing(Lanzhou Institute of Technology,Lanzhou 730050,China)
出处
《现代信息科技》
2021年第1期55-57,共3页
Modern Information Technology
基金
甘肃省高等学校创新能力提升项目(2020A-142)
兰州工业学院青年科技创新项目(2020KJ-19)。
关键词
配电网
无功优化
粒子群算法
天牛须搜索算法
distribution network
reactive power optimization
particle swarm optimization algorithm
beetle antennae search algorithm