Development of Phasor Measurement Unit Based Fault Detection and Faulty Line Classification in Electrical Power System

Modern power system requires advanced and intelligent sensors based protection, such as Phasor Measurement Unit (PMU) that can provide faster, accurate and real-time data acquisition. Blackouts, that occurred since 1992-2016 with a common failure reason was the cascade line tripping of transmission...

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Main Author:	Muhammad Qasim, Khan
Format:	Thesis
Language:	English
Published:	2019
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://ir.unimas.my/id/eprint/27537/2/Muhammad%20Qasim%20Khan.pdf
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spelling	my-unimas-ir.275372023-03-21T08:10:16Z Development of Phasor Measurement Unit Based Fault Detection and Faulty Line Classification in Electrical Power System 2019-12-04 Muhammad Qasim, Khan TK Electrical engineering. Electronics Nuclear engineering Modern power system requires advanced and intelligent sensors based protection, such as Phasor Measurement Unit (PMU) that can provide faster, accurate and real-time data acquisition. Blackouts, that occurred since 1992-2016 with a common failure reason was the cascade line tripping of transmission lines (TL) relays. Wide area measurement systems can completely overcome these issues with efficient use of PMUs for protection of TL. This study first focuses on modifying the PMU model for standard test systems in a MATLAB Simulink environment. This model implements Non-Recursive Phasor Estimation (NRPE) algorithm. Secondly, the study proposes an index for faulty node classification (FNC) based on the positive sequence voltage (PSV) measurements of the pre-fault and post-fault conditions. The index of a bus with a maximum differential percentage is identified as a faulty bus. Thirdly, for a faulty line classification (FLC), this study develops the current angles differential scheme by introducing unwrapped dynamic phase angles using the modified PMU measurements. Hence, the comprehensive algorithm that includes FNC and FLC, is coordinated with all PMUs for accurate wide-area fault location. The robustness of the proposed approach has been validated using the IEEE 9-bus, 30-bus, and 39-bus test systems. The results verified higher accuracy of proposed FNC scheme in comparison to traditional FNC scheme based on minimum PSV selection. For the FLC, this study accurately located the exact faulty TL. Overall, robustness of the proposed algorithm is tested under different faults scenarios, taking into account several factors such as fault inception angles, line fault resistance, ground fault resistance, and the size of loads. Keywords: Differential protection, DFT, fault location, non-recursive phasor estimation, phasor measurement unit, unwrapped dynamic angles. Universiti Malaysia Sarawak (UNIMAS) 2019-12 Thesis http://ir.unimas.my/id/eprint/27537/ http://ir.unimas.my/id/eprint/27537/2/Muhammad%20Qasim%20Khan.pdf text en validuser masters University Malaysia Sarawak, UNIMAS Faculty of Engineering
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Muhammad Qasim, Khan Development of Phasor Measurement Unit Based Fault Detection and Faulty Line Classification in Electrical Power System
description	Modern power system requires advanced and intelligent sensors based protection, such as Phasor Measurement Unit (PMU) that can provide faster, accurate and real-time data acquisition. Blackouts, that occurred since 1992-2016 with a common failure reason was the cascade line tripping of transmission lines (TL) relays. Wide area measurement systems can completely overcome these issues with efficient use of PMUs for protection of TL. This study first focuses on modifying the PMU model for standard test systems in a MATLAB Simulink environment. This model implements Non-Recursive Phasor Estimation (NRPE) algorithm. Secondly, the study proposes an index for faulty node classification (FNC) based on the positive sequence voltage (PSV) measurements of the pre-fault and post-fault conditions. The index of a bus with a maximum differential percentage is identified as a faulty bus. Thirdly, for a faulty line classification (FLC), this study develops the current angles differential scheme by introducing unwrapped dynamic phase angles using the modified PMU measurements. Hence, the comprehensive algorithm that includes FNC and FLC, is coordinated with all PMUs for accurate wide-area fault location. The robustness of the proposed approach has been validated using the IEEE 9-bus, 30-bus, and 39-bus test systems. The results verified higher accuracy of proposed FNC scheme in comparison to traditional FNC scheme based on minimum PSV selection. For the FLC, this study accurately located the exact faulty TL. Overall, robustness of the proposed algorithm is tested under different faults scenarios, taking into account several factors such as fault inception angles, line fault resistance, ground fault resistance, and the size of loads. Keywords: Differential protection, DFT, fault location, non-recursive phasor estimation, phasor measurement unit, unwrapped dynamic angles.
format	Thesis
qualification_level	Master's degree
author	Muhammad Qasim, Khan
author_facet	Muhammad Qasim, Khan
author_sort	Muhammad Qasim, Khan
title	Development of Phasor Measurement Unit Based Fault Detection and Faulty Line Classification in Electrical Power System
title_short	Development of Phasor Measurement Unit Based Fault Detection and Faulty Line Classification in Electrical Power System
title_full	Development of Phasor Measurement Unit Based Fault Detection and Faulty Line Classification in Electrical Power System
title_fullStr	Development of Phasor Measurement Unit Based Fault Detection and Faulty Line Classification in Electrical Power System
title_full_unstemmed	Development of Phasor Measurement Unit Based Fault Detection and Faulty Line Classification in Electrical Power System
title_sort	development of phasor measurement unit based fault detection and faulty line classification in electrical power system
granting_institution	University Malaysia Sarawak, UNIMAS
granting_department	Faculty of Engineering
publishDate	2019
url	http://ir.unimas.my/id/eprint/27537/2/Muhammad%20Qasim%20Khan.pdf
_version_	1783728345973784576

Development of Phasor Measurement Unit Based Fault Detection and Faulty Line Classification in Electrical Power System

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