| 一种改进PSO算法的电力系统无功优化方法 |
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| 引用本文： | 陈建华,李先允,翟寅生,齐磊.一种改进PSO算法的电力系统无功优化方法[J].南京工程学院学报(自然科学版),2008,6(4):13-18. |
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| 作者姓名： | 陈建华 李先允 翟寅生 齐磊 |
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| 作者单位： | 南京工程学院电力工程学院,江苏,南京,211167 |
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| 基金项目： | 南京工程学院大学生科技创新基金项目
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| 摘 要： | 粒子群优化（PSO）算法是一种新兴的群体智能优化技术，其思想来源于人工生命和演化计算理论，PSO通过粒子追随自己找到的最优解和整个群的最优解来完成优化．该算法简单易实现，可调参数少，已得到广泛研究和应用．本文将粒子群优化算法应用到电力系统无功优化问题的研究中，给出了具体的实施流程．为提高PSO的搜索能力，对PSO进行了改进，在算法中加入了第3种极值指导粒子搜索方向．对IEEE-6节点系统的仿真计算结果表明了算法的有效性．
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| 关 键 词： | 粒子群算法 无功优化 全局最优 |
Reactive Power Optimization Using PSO Algorithm in Power System |
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| CHEN Jian-hua,LI Xian-yun,ZHAI Yin-sheng,QI Lei.Reactive Power Optimization Using PSO Algorithm in Power System[J].Journal of Nanjing Institute of Technology :Natural Science Edition,2008,6(4):13-18. |
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| Authors: | CHEN Jian-hua LI Xian-yun ZHAI Yin-sheng QI Lei |
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| Institution: | CHEN Jian-hua,LI Xian-yun,ZHAI Yin-sheng,QI Lei(School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China) |
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| Abstract: | Particle swarm optimization(PSO) is a new technology in terms of swarm intelligence optimization originating from artificial life and evolutionary computation.The optimization is realized by arriving at the optimizations of each particle and that of all the particles as a whole.Since this algorithm is easy to use and has fewer parameters,it has been widely studied and applied.This paper introduces research in which the PSO algorithm was applied to the study of reactive power optimization in power system,alo... |
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| Keywords: | particle swarm optimization reactive power optimization global optimization |
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