| 雷电定位计算的粒子群优化方法 |
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| 引用本文： | 胡志祥,赵文光,文银平,朱宏平.雷电定位计算的粒子群优化方法[J].华中科技大学学报(自然科学版),2011(4):129-132. |
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| 作者姓名： | 胡志祥 赵文光 文银平 朱宏平 |
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| 作者单位： | 华中科技大学土木工程与力学学院;华中科技大学湖北省控制结构重点实验室; |
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| 基金项目： | “十一五”国家科技支撑计划重点项目(2008BAC36B00) |
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| 摘 要： | 针对雷电定位问题,引入粒子群优化(PSO)算法用于雷电定位计算.给出了利用这种算法进行雷电定位的计算步骤,并提出用PSO算法和传统迭代算法协作计算雷电位置的方法.通过数值仿真分析和电网雷击事故定位计算分析了PSO算法的性能.结果表明:该算法能克服传统迭代方法易于发散的缺点,稳定并精确地求解出雷电发生位置;该算法的计算量大于迭代方法,但比网格搜索法要大幅减小;利用PSO算法给出雷电定位初始值,再用迭代方法求解可保证计算稳定并减少计算量.
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| 关 键 词： | 雷电定位 粒子群优化 到达方向 到达时间差 网格搜索 初始值 |
Method of particle swarm optimization in lightning location estimation |
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| Hu Zhixianga Zhao Wenguanga,b Weng Yinpinga Zhu Hongpinga,b.Method of particle swarm optimization in lightning location estimation[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2011(4):129-132. |
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| Authors: | Hu Zhixianga Zhao Wenguanga b Weng Yinpinga Zhu Hongpinga b |
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| Institution: | Hu Zhixianga Zhao Wenguanga,b Weng Yinpinga Zhu Hongpinga,b(a School of Civil Engineering and Mechanics,b Hubei Key Laboratory of Control Structure,Huazhong University of Science and Technology,Wuhan 430074,China) |
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| Abstract: | The concept of particle swarm optimization(PSO) for lightning location estimation was presented after current lightning location problems were reviewed.The algorithm imitated a bird flock searching for food,which constantly approached to the optimum solution.The procedure of the PSO algorithm to find the lightning location was introduced,as well as a hybrid method which used PSO algorithm providing a good initial value for iterative method.The performance of the proposed method was confirmed by computer gen... |
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| Keywords: | lightning location particle swarm optimization direction of arrival time difference of arrival grid search initial value |
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