An Effective Detection Method of Voltage and Frequency Fluctuations Based on a Combination of TEO/DESA and STFT Analysis
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Nowadays, it is a very essential issue to detect and recognize power quality (PQ) disturbances as soon as possible, because it can give very important information by which various kinds of power quality mitigation devices can respond for each phenomenon quickly and to capture the interested waveform parts instantaneously, and so on. Also, it can be widely used as a trigger or reference signal for data mining to determine the existence of anomalies in the power system. We have studied some applications of Teager Energy Operator (TEO) and its adjunctive techniques known as Discrete Energy Operation Algorithm (DESA) to classify and detect the waveform distortions such as harmonics, inter-harmonics and frequency variation and the voltage synchronization. This paper is written to propose an effective detection method of voltage and frequency fluctuation based on TEO/DESA combined with Short-Time Fourier Transform (STFT), which is designed to overcome the drawback of the former study, a combined TEO and STFT method.
KeywordsPQ detection TEO/DESA Time–frequency analysis Voltage fluctuation Frequency fluctuation
This research was supported by a grant from R&D Program of the Korea Railroad Research Institute, Republic of Korea.
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