期刊文献+

用待补偿点定位的遗传算法实现配网无功优化 被引量:3

To optimize the reactive prower of distribution systems using a genetic algorithm with select the candidate locations used
下载PDF
导出
摘要 根据最大节约网损的原则,采用半动态的机制来确定待补偿点的位置和个数,从而减小了遗传算法的搜索空间,极大地提高了无功优化的速度和解的质量.实例验算结果表明,此方法能成功解决配电网无功优化的实际问题. This paper introduce the half-dynamic mechanism to determine the candidate locations for the capacitors. The objective is to minimize the energy losses and power losses in the distribution system considering, at the same time, in order to decrease the searching space of GA and increase the convergence speed. Test result has been presented along with the discussion of the algorithm. The tests, 33-node feeder prove the correctness and efficiency of the method.
作者 郭昆丽
出处 《西安工程科技学院学报》 2005年第4期436-439,共4页 Journal of Xi an University of Engineering Science and Technology
关键词 配电网 无功优化 遗传算法 有功网损 distribution network reactive power optimization genetic algorithm active power loss
  • 相关文献

参考文献6

  • 1段玉倩,贺家李.遗传算法及其改进[J].电力系统及其自动化学报,1998,10(1):39-52. 被引量:175
  • 2刘玉田,马莉.基于Tabu搜索方法的电力系统无功优化[J].电力系统自动化,2000,24(2):61-64. 被引量:73
  • 3姚诸香,涂惠亚,徐国禹.基于灵敏度分析的无功优化潮流[J].电力系统自动化,1997,21(11):19-21. 被引量:29
  • 4HAQUE M H. Capacitor placement in radial distribution systems for loss reduction[J]. IEE Proc-Gener Transm Distrib, 1999,146(5) : 501-505.
  • 5KASHEM M A, GANAPAqTtY V, JASMON G B. A novel approach for network reconfiguration based load balancing in distribution networks[J]. IEEE. Trans Power Deliv, 2000,28 : 415-431.
  • 6BARAN M E, WU F F. Network reconfigurafion in distribution systems for loss reduction and load balancing[J].IEEE. Trans Power Deliv, 1998,4(1) : 1401-1407.

二级参考文献19

共引文献267

同被引文献20

引证文献3

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部