抽象的

Optimal power flow calculation based on improved particle swarm optimization

Zhu Xue-Ling???¯???¼????Zhang Cui-Ying???¯???¼????Zhao Chen-Peng


In order to study the efficient and feasible algorithm of solving power system optimal power flow,the paper discusses and improves the particle swarm optimization (pso) algorithm which has the convergence speed and global search ability; the introduction of penalty function to deal with the constraints of the optimal power flow problem, MATLAB simulation platform is applicated to program improved particle swarm optimization (pso) algorithm and the traditional Newton algorithm, calculating the result of IEEE - 30 nodes standard system of optimal power flow, and comparing the result of two algorithm can highlight the particle swarm algorithm in solving the optimal power flow calculation problem


免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证

索引于

  • 中国社会科学院
  • 谷歌学术
  • 打开 J 门
  • 中国知网(CNKI)
  • 引用因子
  • 宇宙IF
  • 研究期刊索引目录 (DRJI)
  • 秘密搜索引擎实验室
  • 欧洲酒吧
  • ICMJE

查看更多

期刊国际标准号

期刊 h 指数

Flyer