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文章摘要
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
Received:August 02, 2014  Revised:August 02, 2014
DOI:
中文关键词: 改进差分进化算法  无功优化  反学习  高斯扰动  人工蜂群
英文关键词: improved differential evolution algorithm  Reactive power optimization  Anti-learning  Gaussian disturbance  artificial bee colony
基金项目:
Author NameAffiliationE-mail
XIAO Bing Electric Power Research Institute of State Grid East Inner Mongolia Electric Power Company Limited xiaobing@md.sgcc.com.cn 
CHEN Guo-hou Electric Power Research Institute of State Grid East Inner Mongolia Electric Power Company Limited  
AN Guo-jun Electric Power Research Institute of State Grid East Inner Mongolia Electric Power Company Limited  
LIU Chang-shu* China Titans Energy Technology Group CoLtd zhuhai wjlwjl2014@126.com 
WU Lan-xu China Titans Energy Technology Group CoLtd zhuhai  
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中文摘要:
      采用改进差分进化算法(Improved Differential Evolution Algorithm,IDEA)求解配电网无功优化问题。
英文摘要:
      Improved differential evolution algorithm (IDEA) is used to solve the reactive power optimization of distribution network problem. an anti-learning population initialization method is introduced to The algorithm. the method 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 dimension scale;also,the Artificial colony search thoughts and the Bees accelerated evolution and reconnaissance operations 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 solve the model with IEEE30 node system adopting IDE algorithm.then compare it with the basic DE algorithm. simulation results prove that the IDE algorithm mentioned in this article has a better performance,which can effectively solve reactive Power optimization problem.
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