Application of adaptive Kalman filtering in fault classification, distance protection, and fault location using microprocessors
作者： A.A. Girgis , E.B. Makram
DOI: 10.1109/59.43215
关键词:
摘要: An adaptive Kalman filtering scheme is presented for estimation of the 60 Hz phasor quantities, fault type identification, distance protection, and location. The current voltage data each phase are simultaneously processed in two filter models. One model assumes that unfaulted, while other features a faulted phase. condition then decided from computed posteriori probabilities. Upon secure identification phase, corresponding continues to obtain best estimates or state variables. convergence highly accurate values, appropriate pairs selected decide zone was tested on digitally simulated data. classification doubly using both reached exact values within half cycle. >
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sci-hub.se 参考文章(18)
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