| 基于自适应粒子群算法的变压器局部放电定位研究 |
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| 引用本文： | 白晨,王旭红.基于自适应粒子群算法的变压器局部放电定位研究[J].电力学报,2014(3):189-192. |
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| 作者姓名： | 白晨 王旭红 |
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| 作者单位： | 长沙理工大学电气与信息工程学院,长沙410114 |
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| 摘 要： | 随着对电力系统安全运行的要求越来越高,对变压器局部放电定位的研究也就愈发重要,将智能算法引入变压器局部放电定位中是很有效的途径。提出自适应粒子群算法对变压器局部放电定位,通过实验验证分析,此算法具有精度高,收敛速度快,避免收敛早熟等优点。
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| 关 键 词： | 粒子群算法 变压器 局部放电 定位 |
Research on Partial Discharge Location in Transformer Based on Adaptive Particle Swarm Optimization Algorithm |
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| BAI Chen,WANG Xu-hong.Research on Partial Discharge Location in Transformer Based on Adaptive Particle Swarm Optimization Algorithm[J].Journal of Electric Power,2014(3):189-192. |
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| Authors: | BAI Chen WANG Xu-hong |
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| Affiliation: | (College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China) |
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| Abstract: | As the requirements for safe operation of the power system become increasingly high, the study of trans- former partial discharge location will become more important, the intelligent algorithm is introduced for partial discharge location in transformer is a very effective means. This paper proposes an adaptive particle swarm optimization algorithm of trans- former partial discharge location, through the analysis of experimental verification, this algorithm has high precision and fast convergence speed to avoid premature convergence etc. |
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| Keywords: | particle swarm optimization transformer partial discharge location |
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