基于自适应聚焦粒子群算法的电力系统无功优化

TM76; 自适应聚焦粒子群算法(AFPSO)是根据PSO算法的全局搜索与局部搜索平衡特性,改进得到的一种具有较好全局搜索能力和寻优速度的自适应群体智能优化算法.通过采用AFPSO算法,对电力系统进行无功优化.该方法是以最优控制原理为基础,以网损最小为目标函数,在IEEE 30节点系统上进行测试,通过仿真测试以及不同算法优化结果的对比,表明基于AFPSO算法在算法计算精度、收敛稳定性、寻优时间等方面都具有普遍优势,能有效地应用于电力系统无功优化中,证明了AFPSO算法的有效性和优越性....

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Published in电力系统保护与控制 Vol. 37; no. 13; pp. 1 - 6
Main Authors 刘述奎, 陈维荣, 李奇, 林川, 段涛
Format Journal Article
LanguageChinese
Published 西南交通大学电气工程学院,四川,成都,610031%西南交通大学信息科学与技术学院,四川,成都,610031 2009
Subjects
reactive power optimization
无功优化
power system
电力系统
adaptive focusing particle swarm optimization
自适应聚焦粒子群算法
群体智能
swarm intelligence
Online AccessGet full text
ISSN1674-3415
DOI10.3969/j.issn.1674-3415.2009.13.001

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Abstract TM76; 自适应聚焦粒子群算法(AFPSO)是根据PSO算法的全局搜索与局部搜索平衡特性,改进得到的一种具有较好全局搜索能力和寻优速度的自适应群体智能优化算法.通过采用AFPSO算法,对电力系统进行无功优化.该方法是以最优控制原理为基础,以网损最小为目标函数,在IEEE 30节点系统上进行测试,通过仿真测试以及不同算法优化结果的对比,表明基于AFPSO算法在算法计算精度、收敛稳定性、寻优时间等方面都具有普遍优势,能有效地应用于电力系统无功优化中,证明了AFPSO算法的有效性和优越性.
AbstractList TM76; 自适应聚焦粒子群算法(AFPSO)是根据PSO算法的全局搜索与局部搜索平衡特性,改进得到的一种具有较好全局搜索能力和寻优速度的自适应群体智能优化算法.通过采用AFPSO算法,对电力系统进行无功优化.该方法是以最优控制原理为基础,以网损最小为目标函数,在IEEE 30节点系统上进行测试,通过仿真测试以及不同算法优化结果的对比,表明基于AFPSO算法在算法计算精度、收敛稳定性、寻优时间等方面都具有普遍优势,能有效地应用于电力系统无功优化中,证明了AFPSO算法的有效性和优越性.
Abstract_FL Adaptive focusing particle swarm optimization (AFPSO) based on the balance characteristic between global search and local search of particle swarm optimization is an adaptive swarm intelligence optimization algorithm with preferable ability of global search and search rate. AFPSO is proposed to optimize the reactive power optimization. Based on optimal control principle, AFPSO applied for optimal reactive power is evaluated on an IEEE 30-bus power system. The modeling of reactive power optimization is established by taking the minimum network losses as the objective. The simulation results and the comparison results with various optimization algorithms demonstrate that the proposed approach converges to better solutions much faster than the earlier reported approaches and the algorithm can make effectively use in reactive power optimization. Simultaneously, the validity and superiority of AFPSO is proved.
Author 林川
刘述奎
陈维荣
段涛
李奇
AuthorAffiliation 西南交通大学电气工程学院,四川,成都,610031%西南交通大学信息科学与技术学院,四川,成都,610031
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Author_FL CHEN Wei-rong
LIU Shu-kui
LI Qi
LIN Chuan
DUAN Tao
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DocumentTitle_FL Reactive power optimization in power system based on adaptive focusing particle swarm optimization
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Issue 13
Keywords reactive power optimization
无功优化
power system
电力系统
adaptive focusing particle swarm optimization
自适应聚焦粒子群算法
群体智能
swarm intelligence
Language Chinese
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PublicationTitle 电力系统保护与控制
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Publisher 西南交通大学电气工程学院,四川,成都,610031%西南交通大学信息科学与技术学院,四川,成都,610031
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Snippet TM76; 自适应聚焦粒子群算法(AFPSO)是根据PSO算法的全局搜索与局部搜索平衡特性,改进得到的一种具有较好全局搜索能力和寻优速度的自适应群体智能优化算法.通过采用AFPSO算...
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Title 基于自适应聚焦粒子群算法的电力系统无功优化
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