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神經回路網 필터를 利用한 系統周波數 偏移의 推定에 관한 硏究
임영범,김철환 成均館大學校 科學技術硏究所 1995 論文集 Vol.46 No.1
A power system disturbance or operating abnormality, can produce a severe generation and load imbalance, resulting in a rapid frequency decline. Therefore, in order to monitor and control power system effectively, it is imperative to estimate frequency accurately. The DFT filter is effective to estimate power system frequency. This paper presents three type of neural network DFT filter to estimate power system frequency. The proposed NN filters are three layer perceptron model using Back-Propagation voltage signal, the NN filters extract the real and imaginary component of it and then the frequency deviation and the frequency of the power system are calculated. This paper compares the result of recursive DFT filter with that of NN filter in estimation of power system frequency.
朴星完,林泳範,鄭州桓,成洛煥,金喆煥,申明徹 成均館大學校 科學技術硏究所 1994 論文集 Vol.45 No.2
This paper is intended as an investigation of fault location for underground line. Over the past few decades a considerable number of studies have been made on protection of underground line. However, these approaches require the interruption of electric power supply from source for fault location estimation. Therefore, we proposed fault location algorithm for underground line protection without interruption of electric power supply. Cross correlation function is used in this algorithm. Also, EMTP data is used to demonstrate the capability of the proposed fault location algorithm.