Wavelet Based Simulation and Analysis of Single and Multiple Power Quality Disturbances

Authors

  • F. Jandan IICT, Mehran University of Engineering Technology, Jamshoro, Pakistan | Electrical Engineering Department, Quaid-e-Awam University of Engineering Science and Technology Campus Larkana, Pakistan
  • S. Khokhar Electrical Engineering Department, Quaid-e-Awam University of Engineering Science and Technology, Pakistan
  • Z. A. Memon Electrical Engineering Department, Mehran University of Engineering Technology, Pakistan
  • S. A. A. Shah School of Engineering and Applied Sciences, Aston University, UK
Volume: 9 | Issue: 2 | Pages: 3909-3914 | April 2019 | https://doi.org/10.48084/etasr.2409

Abstract

Improving power quality disturbance (PQD) detection and automatic classification has been a major concern ever since the emergence of sensitive non-linear devices. The role of distributed generation in a power system is the main source of PQDs. Short-term and long-term duration single and multiple complex PQDs are difficult to monitor and need higher accuracy and time. This paper presents the analysis of different and distinctive combinations of PQDs. Variety of single and multiple PQD samples are generated using Matlab environment conferring to IEEE STD 1159-2009. Such disturbance samples are accurately detected and analyzed from waveform patterns using multi resolution analysis based discrete wavelet transform. The generation of samples and detection lies in fact that it can allow the feature extraction process for the training/testing sample features for machine learning based automatic recognition of disturbance types.

Keywords:

power quality disturbances (PQDs), power quality generation, discrete wavelet transform (DWT), multi resolution analysis (MRA)

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How to Cite

[1]
F. Jandan, S. Khokhar, Z. A. Memon, and S. A. A. Shah, “Wavelet Based Simulation and Analysis of Single and Multiple Power Quality Disturbances”, Eng. Technol. Appl. Sci. Res., vol. 9, no. 2, pp. 3909–3914, Apr. 2019.

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