MATEC Web Conf.
Volume 201, 20182017 The 3rd International Conference on Inventions (ICI 2017)
|Number of page(s)||14|
|Section||Invention of electrical engineering system|
|Published online||14 September 2018|
Application of a Hybrid Method for Power System Frequency Estimation with a 0.2-second Sampled Period
Graduate Institute of Mechanical and Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan.
2 Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan.
3 Research Center of Energy Conservation for New Generation of Residential, Commercial, and Industrial Sectors.
* Corresponding author: firstname.lastname@example.org
The signal processing technique is one of the principal tools for diagnosing power quality (PQ) issues in electrical power systems. The Discrete Fourier Transform (DFT) is a frequency analysis technique used to process power system signals and identify PQ problems. However, the DFT algorithm may lead to spectral leakage and picket-fence effect problems for asynchronously sampled signals that contain harmonic, inter-harmonic, and flicker components. To resolve this shortcoming, a hybrid method for frequency estimation based on a second-level DFT approach and a frequency-domain interpolation algorithm to obtain the accurate fundamental frequency of a power system is proposed in this paper. This method uses a second-level DFT to compute the cosine and sine parts for the fundamental frequency components of the acquired signals. Then, a frequency-domain interpolation approach is adopted to determine the amplitude ratio for the cosine and sine parts of the system’s fundamental frequency. A set of mixed signals with harmonic, inter-harmonic, and flicker components with the fundamental frequency deviation is used. The evaluation results demonstrate the superiority of the new method over other approaches for assessing asynchronously sampled signals contaminated with noise, harmonic, inter-harmonic, and flicker components.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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