NDLI: Islanding detection method based on image classification technique using histogram of oriented gradient features

Content Provider	IET Digital Library
Author	Manikonda, Santhosh K. G. Gaonkar, Dattatraya N.
Abstract	A new islanding detection method based on image classification with support vector machine is proposed in this study. Histogram of oriented gradient features is extracted from the image for classifying non-islanding and islanding events. In the proposed technique, the time-series signal acquired from the point of common coupling is first converted into an image. Histogram of oriented gradient features is extracted from the image, which is used as an input feature vector for training and testing multiple support vector machine classifiers. Parameters such as voltage, rate of change of voltage, and rate of change of negative sequence voltage are used. Furthermore, a feature for early islanding detection is also presented to detect an islanding event even before it has occurred. The detection accuracy of the proposed method is tested with different kernels. The performance of all the classifiers is tested with 5-fold cross-validation. The classification results show that islanding detection with image classification based on the histogram of oriented gradient feature and multiple support vector machine classifiers can achieve excellent results.
Starting Page	2790
Ending Page	2799
Page Count	10
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 14, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.1824
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-04-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Detection Accuracy Distributed Power Generation Early Islanding Detection Feature Extraction Gradient Method Histogram of Oriented Gradient Feature Image Classification Image Classification Technique Image Recognition Input Feature Vector Islanding Detection Method Islanding Event Knowledge Engineering Technique Multiple Support Vector Machine Classifier Testing Nonislanding Optimisation Technique Power Distribution Fault Power Engineering Computing Support Vector Machine
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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