电测与仪表Issue(17)：63-67,5.
基于改进差分进化算法的配电网无功优化
Reactive power optimization of distribution network based on improved differential evolution algorithm
肖冰 1陈国伟 1安国军 1刘长树 2吴兰旭2
作者信息
- 1. 国网内蒙古东部电力有限公司电力科学研究院，呼和浩特010020
- 2. 珠海泰坦科技股份有限公司，广东珠海519015
- 折叠
摘要
Abstract
Improved differential evolution algorithm ( IDEA) is used to solve the reactive power optimization of distri-bution network problem.An anti-learning population initialization method is introduced to the algorithm which makes the initial population diverse and is able to fully extract the information of the search space.The method introduces Gauss perturbation mechanism to the interlace operation, which improves the diversity of the population in the dimen-sion scale.Meanwhile, the artificial colony search thoughts and the bees accelerated evolution and reconnaissance op-erations strategy are added into the evolution process so that the algorithm can quickly jump out of the local optimum and avoid premature.Based on the above, a distribution network reactive power optimization model is established and solves the model with IEEE30 node system adopting IDE algorithm, and then compares it with the basic DE algorithm. The simulation results prove that the IDE algorithm mentioned in this article has a better performance, which can ef-fectively solve the reactive power optimization problem.关键词
改进差分进化算法/无功优化/反学习/高斯扰动/人工蜂群Key words
improved differential evolution algorithm/reactive power optimization/anti-learning/Gaussian disturb-ance/artificial bee colony分类
信息技术与安全科学引用本文复制引用
肖冰,陈国伟,安国军,刘长树,吴兰旭..基于改进差分进化算法的配电网无功优化[J].电测与仪表,2015,(17):63-67,5.
