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机构地区:[1]黄石供电公司,湖北黄石435000
出 处:《四川电力技术》2016年第6期73-77,共5页Sichuan Electric Power Technology
摘 要:变压器的正常工作对于保障电力系统安全稳定运行起到了举足轻重的作用,因此,对其进行定期或不定期的故障诊断显得尤为必要。在常规油中溶解气体分析法(DGA)的变压器故障诊断方法基础上,将传统灰色关联分析法和B型灰色关联分析法分别应用于变压器故障识别中,并结合实例对两种方法的适用性进行了探讨。研究结果表明,B型灰色关联分析较传统灰色关联分析法,更能够有效地对变压器故障进行识别,证明了该方法在变压器故障识别领域良好的适用性。最后,对两种灰色关联分析法在变压器识别中的所遇到的问题进行了分析,认为应对DGA所测得的各气体含量占总气体含量权重等方面进行进一步的研究。The normal operation of transformer plays a key role on the safe and stable operation of the whole power system, so it is very necessary to carry out the regular or irregular fault diagnosis for the transformer. Based on the transformer fault diagnosis method of the conventional oil dissolved gas analysis approach (DGA), the traditional grey relational analysis and B - type grey relational analysis are applied to the transformer fault identification, and then the applicability of two methods is discussed according to an instance. The results show that comparing with the traditional grey relational analysis, B - type grey relational analysis is more effective on the identification of transformer fault, which verifies that B - type grey relational analysis method has a good applicability in transformer fault identification. Finally, the problems encountered in transformer fault identification by these two grey relation analysis methods are analyzed, and it suggests that further research will be needed in the weight of each gas content in total gas content which is measured by DGA method.
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