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- Title
基于随机矩阵的电网多元数据异常状态诊断.
- Authors
杨扬; 刘道杰; 李炜
- Abstract
In order to solve the problem of power grid fault line selection and effectively improve the safe operation level of power grid, a double criterion location diagnosis method based on random matrix series theory is proposed for power grid anomaly detection and fault type identification. Firstly, the sample data source matrix is constructed by collecting three-phase voltage and three-phase current data at each node of the power grid with the help of PMU, and then the fault time, fault feeder and fault type are judged from time latitude and space latitude respectively to realize vertical and horizontal multiple analysis. Among them, the time latitude is determined by the spectral deviation and the average spectral radius, and the M-P law and the single-loop theorem are used as double criteria to determine the fault time. In the spatial dimension, the sample covariance matrix obtained by sliding time window is used to determine the fault location and identify the fault type. Finally, with the help of MATLAB software, taking IEEE39-bus system and an actual power grid in an oil field as examples, the fault time, fault location and fault type identification of power grid are carried out. The experimental results show that compared with other algorithms, the advantage of this method is that the magnitude of spectral deviation is much smaller before, thus greatly expanding the scope of fault detection and improving the efficiency of fault identification.
- Publication
Computer Measurement & Control, 2023, Vol 31, Issue 10, p40
- ISSN
1671-4598
- Publication type
Article
- DOI
10.16526/j.cnki.11-4762/tp.2023.10.007