Process Level Fault Probability Distribution Model of Intelligent Substation Based on Tree Structure
| Autor: | Zhang Kefeng, Lu Wenxing, Zhu Qiaojie, Wang Liang, Diqiu Shen |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Journal of Physics: Conference Series. 2005:012157 |
| ISSN: | 1742-6596 1742-6588 |
| DOI: | 10.1088/1742-6596/2005/1/012157 |
| Popis: | In order to estimate the probability distribution of process level fault in Smart Substation, a tree based probability distribution model of process level fault in Smart Substation is proposed. Taking 14 years' process level fault data of Smart Substation in a regional power grid as sample data, this paper compares and analyzes various probability models. The probability distribution of process level fault scale of Smart Substation in this area is calculated by using the Boley Tanner branching process model in tree structure. The experimental results show that the model can estimate the probability distribution of process level fault size of Smart Substation well. Under the same confidence requirement, the sample data needed by the method based on the Boley Tanner model to estimate the fault probability distribution is one order of magnitude less than that directly based on the actual fault data. |
| Databáze: | OpenAIRE |
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