A Complete Analytic Model of Section Location in Distribution Network Based on Multi-Factor Dimensionality Deduction
Wang Qiujie1, Jin Tao1, Shen Tao2, Zhu Shaojie3, Liu Suiyang3
1. Fujian Key Laboratory of New Energy Generation and Power ConversionFuzhou University Fuzhou 350116 China; 2. State Grid Hubei Electric Power Co. Ltd Suizhou Power Supply CompanySuizhou 441300 China; 3. State Grid Hubei Electric Power Co. Ltd Jingmen Power Supply Company Jingmen 448000 China
Abstract：The existing section location model of distribution network does not count the information missing and false alarms into fault variables, resulting in the inadequacy of fault tolerance of section location when multi-node information is distorted. In order to improve the fault tolerance of section location, a complete analytical model of section location in distribution network is constructed. In order to reduce the variable dimension of the complete analytic model, the fault contradiction hypothesis is used to reduce the variable dimension to three times the number of nodes. Secondly, the variable dimension of single fault location is further reduced by a hierarchical location model. Finally, when the diagnosis results, obtained by the method of model based diagnosis, act as the known variables of the first layer model, the variable dimension is reduced again. The case shows that compared with the models that do not take account of missing and false alarms, the fault-tolerant capability of the complete analytic model is greatly improved, and the warning message of missing and false alarm can be obtained synchronously. Compared with the complete analytical models that do not use multi-factor to reduce the dimension, the speed and accuracy of the proposed model are relatively high, which is more in line with the real-time requirements of section location.
王秋杰, 金涛, 申涛, 朱绍杰, 刘随阳. 利用多因素降维的配电网区段定位完全解析模型[J]. 电工技术学报, 2019, 34(14): 3012-3024.
Wang Qiujie, Jin Tao, Shen Tao, Zhu Shaojie, Liu Suiyang. A Complete Analytic Model of Section Location in Distribution Network Based on Multi-Factor Dimensionality Deduction. Transactions of China Electrotechnical Society, 2019, 34(14): 3012-3024.
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2019, Vol. 34 
