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基于改进支持向量机的配电电力变压器内部过热故障识别方法

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为降低配电电力变压器内部过热故障识别误差较大的问题,提出基于改进支持向量机的配电电力变压器内部过热故障识别方法.该方法针对变压器内部过热故障展开分析,并基于分析结果,进行特征量的选择和归一化处理,以消除气体体积分值存在的差异,为确保后续识别结果的准确性奠定基础.然后通过跨子群交流策略和最优群体自变异策略改进蛙跳算法.最终基于改进后的混合蛙跳算法来进行实现支持向量机的改进,完成配电电力变压器内部过热故障识别.测试结果表示,采用所提方法进行配电电力变压器内部过热故障识别,其识别确率始终在95%以上,具有较强的应用性.
The Inner Overheat Fault Recognition Method of Distribution Power Transformers Based on the Supplerting Vector Machines
In order to reduce the problem of mor error inner overheat fault recognition of the distribution power transforme,in the paper,the inner overheat fault recognition method of distribution power transformers based on the supporting vector machine is proposed.The method analyzes the inner overbeat fault for the transformer and based on the analysis result,conduct charcecteristic quantity selection and normalized treatment to eliminate existential difference of gas volume value,ensuring follow-up recognition result accuracy to lay the foundation.Then,by cross-ing subrroup exchange tractics and optimal population self-variance tractics,improve leapfrog algorithm.Finally,based on improved mixed leapfrog algorithm to achieve supporting vector machine improvement,finishing the inner overheat fault recognition of the power transformer.The test result shows the adopted method conducts the inner o-verheat fault recognition of the distribution power transformer,its recognition accuracy is always up to 95%,and has better applicability.

power transformerinner overheatimproved supporting vector machinefault recognition

李玮玮

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中山日立能源变压器有限公司,广东 中山 528400

电力变压器 内部过热 改进支持向量机 故障识别

2024

电气开关
沈阳电气传动研究所

电气开关

影响因子:0.281
ISSN:1004-289X
年,卷(期):2024.62(3)