Research on reliability model of relay protection device based on GM-SVR

X. Qian, Yin Zhang, Lei Yu, HanBin Zhang
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Abstract

In order to solve the problem of low reliability parameter estimation accuracy of relay protection devices in intelligent substations under the condition of small samples, a parameter estimation method of three-parameter Weibull distribution based on GM-SVR is proposed. First of all, in view of the high reliability of the protection device at the initial stage of operation, a three-parameter Weibull distribution model is introduced. Secondly, the SVR is introduced on the basis of the GM(1,1) model, and a high-precision parameter estimation model of GM-SVR Weibull distribution is established by making use of the high reliability of the GM(1,1) model for position parameter estimation under the condition of small samples and the advantage of SVR method in small sample data processing. In order to solve the problem that the traditional model ignores the influence of equipment aging and maintenance, the equivalent fallback time and maintenance improvement coefficient are introduced to improve the time-varying model. Through the calculation of an example and comparison with other methods, it is proved that the GM-SVR method has higher accuracy of model parameter estimation, and the model considering the influence of maintenance can more effectively study the reliability of relay protection devices.
基于GM-SVR的继电保护装置可靠性模型研究
为了解决智能变电站继电保护装置在小样本条件下可靠性参数估计精度低的问题,提出了一种基于GM-SVR的三参数威布尔分布参数估计方法。首先,针对保护装置运行初期的高可靠性,引入了三参数威布尔分布模型。其次,在GM(1,1)模型的基础上引入SVR,利用GM(1,1)模型在小样本条件下位置参数估计的高可靠性和SVR方法在小样本数据处理中的优势,建立了GM-SVR威布尔分布的高精度参数估计模型。为了解决传统模型忽略设备老化和维修影响的问题,引入等效回退时间和维修改善系数对时变模型进行改进。通过算例计算和与其他方法的比较,证明GM-SVR方法具有较高的模型参数估计精度,考虑维护影响的模型能更有效地研究继电保护装置的可靠性。
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