Journal ArticleDOI
Discrimination Between Internal Faults and Other Disturbances in Transformer Using the Support Vector Machine-Based Protection Scheme
Ashesh M. Shah,Bhavesh R. Bhalja +1 more
TLDR
In this paper, a new differential protection scheme based on support vector machine (SVM), which provides effective discrimination between internal faults in a power transformer with the other disturbances, such as various types of inrush currents and overexcitation conditions.Abstract:
This paper presents a new differential protection scheme based on support vector machine (SVM), which provides effective discrimination between internal faults in a power transformer with the other disturbances, such as various types of inrush currents and overexcitation conditions. The feature extraction is carried out using wavelet transform, which later, is given as input to the SVM classifier. Numerous simulation cases consisting of internal faults and other disturbances have been simulated with varying fault and system parameters for an existing power transformer of Gujarat Energy Transmission Corporation Ltd. (GETCO), Gujarat, India, using the PSCAD/EMTDC software package. The performance of the developed algorithm has been tested over a simulation data set of 5442 cases and the overall fault discrimination accuracy of more than 99% is achieved. It has also been observed that the SVM classifier gives highly promising results for CT saturation, different connection type, and various ratings of the transformer, even though it is trained only once for a single rating and connection of a transformer. At the end, a comparative evaluation of the proposed scheme is also carried out with other existing/proposed methods where it has been observed that the proposed method provides superior results.read more
Citations
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Journal ArticleDOI
A Review of Classification Problems and Algorithms in Renewable Energy Applications
María Pérez-Ortiz,Silvia Jiménez-Fernández,Pedro Antonio Gutiérrez,Enrique Alexandre,César Hervás-Martínez,Sancho Salcedo-Sanz +5 more
TL;DR: The main objective of this paper is to review the most important classification algorithms applied to RE problems, including both classical and novel algorithms.
Journal ArticleDOI
Dissolved Gas Analysis Principle-Based Intelligent Approaches to Fault Diagnosis and Decision Making for Large Oil-Immersed Power Transformers: A Survey
Lefeng Cheng,Tao Yu +1 more
TL;DR: It is concluded that a variety of intelligent algorithms should be combined for mutual complementation to form a hybrid fault diagnosis network, such that avoiding these algorithms falling into a local optimum.
Journal ArticleDOI
Integration of Accelerated Deep Neural Network Into Power Transformer Differential Protection
TL;DR: An accelerated convolutional neural network (CNN) based approach is designed for the discrimination between internal faults and inrush current to decrease the risk of false trips.
Journal ArticleDOI
Fast Discrimination of Transformer Magnetizing Current From Internal Faults: An Extended Kalman Filter-Based Approach
TL;DR: In this article, a new method for discrimination of transformer inrush current from an internal fault current is proposed, based on a nonlinear state-space model of a real single-phase transformer, which incorporates the nonlinear phenomena of hysteresis and magnetic saturation.
Journal ArticleDOI
Fault discrimination scheme for power transformer using random forest technique
Ashesh M. Shah,Bhavesh R. Bhalja +1 more
TL;DR: In this article, the authors proposed a random forest-based fault discrimination technique for power transformer, which relies on extracting features from the measured data of differential current signals of a power transformer.
References
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Journal ArticleDOI
LIBSVM: A library for support vector machines
Chih-Chung Chang,Chih-Jen Lin +1 more
TL;DR: Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.
Book
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
TL;DR: This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory, and will guide practitioners to updated literature, new applications, and on-line software.
Book
Power System Protection
TL;DR: P.P. Anderson, a noted expert on power systems, presents an analytical and technical approach to power system protection, showing how abnormal system behavior can be detected before damage occurs, and points to effective control action to limit system outages.
Book
Power System Relaying
TL;DR: In this paper, the authors present a classic power system relaying and power system phenomena including stability protection, reliability, and reliability of the relaying system from a network operator's perspective.
Book
Transformer Engineering: Design and Practice
S.V. Kulkarni,S.A. Khaparde +1 more
TL;DR: In this article, a reference illustrates the interaction and operation of transformer and system components and spans more than two decades of technological advancement to provide an updated perspective on the increasing demands and requirements of the modern transformer industry.