Improved performance of detection and classification of 3-phase transmission line faults based on discrete wavelet trans
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ORIGINAL PAPER
Improved performance of detection and classification of 3-phase transmission line faults based on discrete wavelet transform and double-channel extreme learning machine Ejaz Ul Haq1
· Huang Jianjun1 · Kang Li1 · Fiaz Ahmad2 · David Banjerdpongchai3 · Tijiang Zhang4
Received: 16 April 2020 / Accepted: 20 October 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Power transmission lines are the key network that transmits energy from the generation side to load. The complexity and uncertainty in the power system increase continuously due to the evolution of the smart grid, which needs an effective and accurate protection system. The faults in transmission lines affect the whole power system and also the consumers’ side. Therefore, accurate and precise identification of faults in transmission lines minimizes the losses and maximizes the functionality and reliability of the power network. Due to the recent advances in digital technology, an online scheme is used to locate the fault in transmission lines. In this paper, machine learning-based discrete wavelet transform and double-channel extreme learning machine method are proposed to locate and classify the faults in transmission lines. Db4 wavelet is used as a mother wavelet in the discrete wavelet transform for feature extraction up to nine levels. The proposed method validated on real-time data which achieves higher classification accuracies and less fault detection time. Results show that high-impedance non-linear faults have no effect on the proposed technique. Keywords Transmission lines · Smart grid · Protection system · Power network · Discrete wavelet transform · Extreme learning machine · Classification
1 Introduction Transmission lines are a bulky network that carries heavy electrical power from generating side to consumers. More specifically in smart grid transmission lines are a complex system that delivers energy. Transmission lines serve as a way in the distribution network that carries energy from producers to consumers. Transmission lines are distributed over a wide area having a major portion exposed to losses compared to other components in the power networks. Literature
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Huang Jianjun [email protected]
1
ATR Key Laboratory, School of Electronics and Information Engineering, Shenzhen University, Shenzhen, China
2
Department of Electrical and Computer Engineering, Air University, Islamabad, Pakistan
3
Intelligent Control Automation of Process Systems Research Unit, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Pathumwan, Thailand
4
Zunyi Medical University, Zunyi, China
studies and also practical observation reveals that a number of sensors, control networks, communicating systems have been installed in transmission lines to improve its performance [1]. However in an electrical network, power quality is the key factor of interest. Power quality is degraded due to the faults in transmission lines which has a direct impact on the consumers. The initiation
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