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Published in: Arabian Journal for Science and Engineering 8/2020

26-02-2020 | Research Article-Electrical Engineering

Adaptive Detection of Islanding and Power Quality Disturbances in a Grid-Integrated Photovoltaic System

Authors: Satya Prakash, Shubhi Purwar, Soumya R. Mohanty

Published in: Arabian Journal for Science and Engineering | Issue 8/2020

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Abstract

Global photovoltaic (PV) generation is increasing steadily at about \(30\%\) growth rate over the last decade. Depleting environment owing to extensive use of fossil fuels is expected to further continue with this growth rate. With such large PV penetration in the utility grid, perturbation-based active islanding detection methods are becoming detrimental, marred with issues like degradation of power quality and deteriorating system stability. This paper uses morphological filters combined with empirical mode decomposition (EMD) to implement an efficient adaptive signal processing-based detection for islanding as well as PQ disturbances. Two-stage morphological median filter (MMF-2) is used to overcome the noise vulnerability associated with EMD. Field programmable gate array implementation is developed for real-time detection of PQ events. Classification of power quality disturbances is obtained using a support vector machine classifier. The results demonstrate fast and accurate real-time detection under various noisy scenarios without applying any parameter perturbations.

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Metadata
Title
Adaptive Detection of Islanding and Power Quality Disturbances in a Grid-Integrated Photovoltaic System
Authors
Satya Prakash
Shubhi Purwar
Soumya R. Mohanty
Publication date
26-02-2020
Publisher
Springer Berlin Heidelberg
Published in
Arabian Journal for Science and Engineering / Issue 8/2020
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-020-04378-w

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