| 基于改进细菌群体趋药性算法的无功优化 |
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| 引用本文： | 李秀卿,孙守鑫,张超,刘文祥,徐剑锋,倪晶.基于改进细菌群体趋药性算法的无功优化[J].电力系统保护与控制,2011,39(8):56-59. |
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| 作者姓名： | 李秀卿 孙守鑫 张超 刘文祥 徐剑锋 倪晶 |
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| 作者单位： | 1.东北电力大学电气工程学院，吉林 吉林 132012;2.鹤岗电业局，黑龙江 鹤岗 154200;3.黑龙江省电力科学研究院系统室，黑龙江 哈尔滨 150036;4.东北农业大学工程学院电气工程系，黑龙江 哈尔滨 150030 |
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| 摘 要： | 基于细菌群体趋药性（Bacterial Colony Chemotaxis，BCC）算法提出变速菌群趋药性（Gear Bacterial Colony Chemotaxis，GBCC）算法，将其应用于电力系统无功优化。GBCC算法引入带有权重系数的变速公式，使得GBCC算法前期能够较快地收敛于几个最优解的周围，后期能够在最优解周围进行细致搜索，克服了BCC算法易于收敛于局部最优解的缺点。建立基于GBCC算法的无功优化数学模型，给出GBCC算法的具体步骤。通过对IEEE30节点算例的测试，得到GBCC算法在无功优化问题上的收敛速度和优化效果。
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| 关 键 词： | 菌群趋药性算法 变速菌群趋药性算法 无功优化 变速思想 收敛性 收敛速度 |
Reactive power optimization based on the improved bacterial colony chemotaxis algorithm |
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| LI Xiu-qing,SUN Shou-xin,ZHANG Chao,LIU Wen-xiang,XU Jian-feng,NI Jing.Reactive power optimization based on the improved bacterial colony chemotaxis algorithm[J].Power System Protection and Control,2011,39(8):56-59. |
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| Authors: | LI Xiu-qing SUN Shou-xin ZHANG Chao LIU Wen-xiang XU Jian-feng NI Jing |
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| Affiliation: | LI Xiu-qing1,SUN Shou-xin1,ZHANG Chao1,LIU Wen-xiang2,XU Jian-feng3,NI Jing4(1.College of Electrical Engineering,Northeast Dianli University,Jilin 132012,China,2.Hegang Power Supply Company,Hegang 154200,3.Electric Power Research Institute System Room of Heilongjiang Province,Harbin 150036,4.Electrical Engineering of Engineering College of Northeast Agricultural University,Harbin 150030,China) |
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| Abstract: | A Gear Bacterial Colony Chemotaxis(GBCC) algorithm is presented based on Bacterial Colony Chemotaxis algorithm to deal with reactive power optimization problem in power system.GBCC algorithm introduces a gear formula with a weight coefficient,which makes GBCC algorithm converge around a few of the optimal solutions quickly at early stage and later search carefully around the optimal solutions.The BCC algorithm's shortcoming of easily converging to local optimal solution is overcome.This paper establishes a ... |
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| Keywords: | bacterial colony chemotaxis algorithm gear bacterial colony chemotaxis algorithm reactive power optimization changing-speed thought convergency convergency speed |
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