A reliability evaluation model for intelligent substation secondary system based on variation coefficient method

It is important to establish reliability analysis model of secondary system for the intelligent substation. In this paper, a method is proposed to evaluate the reliability of secondary system in smart substation. Firstly, according to the reliability indices of secondary system structures for different smart substations, the evaluation matrix are determined and the matrix can be orthogonalized to makes it non dimensional. Secondly, the mean, standard deviation, coefficient of variation, and weighted vector of the matrix are calculated. Then, the weighted data matrix of ideal sample and negative sample is determined. Finally, according to the correlation degree ranking method, the reliability evaluation of each index is obtained. For practical examples, this method can be used to identify the factors influencing reliability of intelligent substation. The method can be used to select an appropriate network topology, improving the reliability of the design level of substation communication system.

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