引用本文: | 刘文业,罗隆福,张志文,李 勇,黄 肇,张小峰.基于多目标Pareto粒子算法的感应滤波装置优化设计[J].电力自动化设备,2014,34(7): |
| LIU Wenye,LUO Longfu,ZHANG Zhiwen,LI Yong,HUANG Zhao,ZHANG Xiaofeng.Optimized inductive filter design based on multi-objective Pareto particle algorithm[J].Electric Power Automation Equipment,2014,34(7): |
|
摘要: |
针对12脉波整流系统实施感应滤波的特点及要求,进行了配套滤波装置的方案选型,使所确立的滤波方案能有效兼顾电能质量控制和场地空间限制等因素,在此基础上建立了滤波装置参数设计的多目标优化数学模型,并应用基于向量评价的改进粒子群优化算法对滤波参数进行了全面优化设计。算例分析和仿真、实验结果表明,优化后的滤波参数能够较好地满足滤波、无功补偿和成本控制等多目标设计要求,验证了所选滤波方案及优化模型的正确性和有效性。 |
关键词: 大功率整流 感应滤波 无源滤波器 粒子群优化算法 优化 滤波器 |
DOI: |
分类号: |
基金项目:国网科研基金资助项目( [2008] 1360);2012年湖南省研究生科研创新项目(CX2012B127) |
|
Optimized inductive filter design based on multi-objective Pareto particle algorithm |
LIU Wenye1,2, LUO Longfu1, ZHANG Zhiwen1, LI Yong1, HUANG Zhao1, ZHANG Xiaofeng1
|
1.College of Electrical and Information Engineering,Hunan University,Changsha 410082,China;2.CSR Research Institute of Electricity Technology & Materials Engineering,Zhuzhou 412001,China
|
Abstract: |
A filtering unit scheme of 12-pulse rectifier system to effectively balance the power quality and space limitation is selected according to the characteristics and requirements of inductive filtering,based on which,a multi-objective optimization math model is established and an improved particle swarm algorithm based on vector evaluation method is applied to optimize the filter parameters. The analytical,simulative and experimental results of an example show that,the filter with optimized parameters well meets the requirements of multi-objective design for filtering performance,reactive power compensation and cost saving,verifying the correctness and effectiveness of the selected scheme and optimization model. |
Key words: high power rectifier inductive filtering passive filter particle swarm optimization algorithm optimization electric filters |