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Energies 2018, 11(10), 2701; https://doi.org/10.3390/en11102701

An Anti-Islanding Protection Technique Using a Wavelet Packet Transform and a Probabilistic Neural Network

1
Department of Electrical and Electronic Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
2
Center of Advanced Power and Energy Research (CAPER), Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
*
Author to whom correspondence should be addressed.
Received: 5 September 2018 / Revised: 20 September 2018 / Accepted: 21 September 2018 / Published: 11 October 2018
(This article belongs to the Section Electrical Power and Energy System)
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Abstract

This paper proposes a new islanding detection technique based on the combination of a wavelet packet transform (WPT) and a probabilistic neural network (PNN) for grid-tied photovoltaic systems. The point of common coupling (PCC) voltage is measured and processed by the WPT to find the normalized Shannon entropy (NSE) and the normalized logarithmic energy entropy (NLEE). Subsequently, the yield feature vectors are fed to the PNN classifier to classify the disturbances. The PNN is trained with different spread factors to obtain better classification accuracy. For the best performance of the proposed method, the precise analysis is done for the selection of the type of input data for the PNN, the type of mother wavelet, and the required transform level which is based on the accuracy, simplicity, specificity, speed, and cost parameters. The results show that, by using normalized Shannon entropy and the normalized logarithmic energy entropy, not only it offers simplicity, specificity and reduced costs, it also has better accuracy compared to other smart and passive methods. Based on the results, the proposed islanding detection technique is highly accurate and does not mal-operate during islanding and non-islanding events. View Full-Text
Keywords: islanding detection; wavelet packet transform; probabilistic neural network; symmetrical and asymmetrical faults; photovoltaic system islanding detection; wavelet packet transform; probabilistic neural network; symmetrical and asymmetrical faults; photovoltaic system
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Ahmadipour, M.; Hizam, H.; Lutfi Othman, M.; Amran Mohd Radzi, M. An Anti-Islanding Protection Technique Using a Wavelet Packet Transform and a Probabilistic Neural Network. Energies 2018, 11, 2701.

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