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Improved Parameter Identification Method for Envelope Current Signals Based on Windowed Interpolation FFT and DE Algorithm

The State Key Laboratory of Transmission Equipment and System Safety and Electrical New Technology, Chongqing 400044, China
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Algorithms 2018, 11(8), 113; https://doi.org/10.3390/a11080113
Received: 9 July 2018 / Revised: 24 July 2018 / Accepted: 25 July 2018 / Published: 27 July 2018
Envelope current signals are increasingly emerging in power systems, and their parameter identification is particularly necessary for accurate measurement of electrical energy. In order to analyze the envelope current signal, the harmonic parameters, as well as the envelope parameters, need to be calculated. The interpolation fast Fourier transform (FFT) is a widely used approach which can estimate the signal frequency with high precision, but it cannot calculate the envelope parameters of the signal. Therefore, this paper proposes an improved method based on windowed interpolation FFT (WIFFT) and differential evolution (DE). The amplitude and phase parameters obtained through WIFFT and the envelope parameters estimated by the envelope analysis are optimized using the DE algorithm, which makes full use of the performance advantage of DE. The simulation results show that the proposed method can improve the accuracy of the harmonic parameters and the envelope parameter significantly. In addition, it has good anti-noise ability and high precision. View Full-Text
Keywords: envelope signal; windowed interpolation; differential evolution; parameter identification envelope signal; windowed interpolation; differential evolution; parameter identification
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MDPI and ACS Style

Su, X.; Zhang, H.; Chen, L.; Qin, L.; Yu, L. Improved Parameter Identification Method for Envelope Current Signals Based on Windowed Interpolation FFT and DE Algorithm. Algorithms 2018, 11, 113.

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