| 改进的粒子群算法对无源滤波器参数的优化 |
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| 引用本文： | 缑新科,洪寒.改进的粒子群算法对无源滤波器参数的优化[J].甘肃科学学报,2011,23(3):110-113. |
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| 作者姓名： | 缑新科 洪寒 |
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| 作者单位： | 1. 兰州理工大学电气工程与信息工程学院,甘肃兰州 730050;甘肃省工业过程先进控制重点实验室,甘肃兰州 730050
2. 兰州理工大学电气工程与信息工程学院,甘肃兰州,730050 |
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| 摘 要： | 针对混合有源滤波器中无源滤波器设计过分依赖经验与无源滤波器优化能力不强的问题,提出改进粒子群优化算法PSO(Particle Swarm Optimization,PSO)进行无源滤波器的多目标参数优化设计.对无源滤波器的成本,无功补偿容量及补偿后滤波效果3个目标全局优化.利用改进的粒子群对其参数进行了优化设计,使种群...
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| 关 键 词： | 混合型有源滤波器 无源滤波器 粒子群算法 参数优化 |
Improved Particle Swarm Optimization of Parameters of PPF |
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| GOU Xin-ke,HONG Han.Improved Particle Swarm Optimization of Parameters of PPF[J].Journal of Gansu Sciences,2011,23(3):110-113. |
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| Authors: | GOU Xin-ke HONG Han |
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| Institution: | GOU Xin-ke1,2,HONG Han1(1.College of Electrical and Information Engineering,Lanzhou University of Science and Technology,Lanzhou 730050,China,2.Gansu Key Laboratory of Advanced Control for Industrial Processes,China) |
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| Abstract: | Since the design of the passive power filter(PPF) in hybrid active power filters(HAPF) relies on experience too much and the PPF optimization is not strong enough,an improved particle swarm optimization(PSO) is proposed here to realize globall optimization for multi-objective parameters of PPF,namely,the cost of PPF,its reactive compensation capacity and its compensation filtering effect.The improved particle swarm optimization(PSO) which optimizes parameters of PPF makes the population evolve toward the op... |
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| Keywords: | hybrid active power filter(HAPF) passive power filter(PPF) particle swarm optimization parameter optimizaion |
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