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文章摘要
考虑多目标优化模型的含分布式电源的无功优化
Bacterial colony optimization algorithm based on distributed power distribution network containing reactive double target
Received:August 26, 2014  Revised:August 26, 2014
DOI:
中文关键词: 细菌菌落优化算法  无功优化  分布式电源  网络损耗  电压稳定裕度
英文关键词: bacterial  colony optimization,distributed  generators,Reactive  Power Optimization,Network  Loss
基金项目:
Author NameAffiliationE-mail
caiyaoxing College of Electrical and Information Engineering,Changsha University of Science and Technology 15111023604@163.com 
sushiping* College of Electrical and Information Engineering,Changsha University of Science and Technology 15111023604@163.com 
liuguiying College of Electrical and Information Engineering,Changsha University of Science and Technology  
tangfushun State Grid of Shaoyang, Shaoyang  
LUO Guo-cai 国网邵阳供电公司  
TANG Mo-yi State Grid of Shaoyang  
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中文摘要:
      在配电网的调压过程中,将能够发出无功功率的分布式电源与电容器相结合,分析含分布式电源的配电网无功优化的问题,并建立有功网损最小、静态电压稳定裕度最大的数学模型。在此基础上,应用超效率数据包分析评价方法,明确各目标函数的权重组合方案,把双目标无功优化问题转换成单目标规划问题。并且运用一种新颖的智能优化算法—细菌菌落算法,解决分布式电源在配电网中的无功优化问题。细菌菌落算法根据单群体菌落生长演化过程来寻找最优解,本文建立了细菌菌落的生成和死亡的寻优机制,并提供了一种新的算法结束方式。通过IEEE-33测试系统验证该算法具有良好实用性和适应性,并且也验证了所提模型的实际意义。
英文摘要:
      By integrating the reactive power of the distributed generators (DGs) to be the control variables, the reactive power optimization problem in distribution power system with DGs is discussed。This paper analyses the change of the network loss when DG access to distribution network, and established the minimum active network loss as the static voltage stability margin greatest mathematical model.On this basis, the application of ultra-efficient packet analysis and evaluation methods, specifically weight combined programs of the objective function, DG containing reactive double objective optimization problem into a single objective planning issues.And the use of a novel intelligent optimization algorithm - bacterial colonies algorithm.A bacterial colony optimization(BCO) algorithm based on the basic growth law of bacterial colony is presented.A bacterial colony optimization algorithm based on the basic growth law of bacterial colony is presented.Finally,the effectiveness of the proposed algorithm are illustrated by experiment of IEEE-33 nodes system.
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