Advanced Power System Protection | Wigner Distribution Function and Alienation Coefficient Based Power System Protection Methodology

Sunil Kumar Goyal (u. a.)

ISBN 10: 6204208608 / ISBN 13: 9786204208602

Published by LAP LAMBERT Academic Publishing, 2021

About this Item

Advanced Power System Protection | Wigner Distribution Function and Alienation Coefficient Based Power System Protection Methodology | Sunil Kumar Goyal (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204208602 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 120770232

Bibliographic Details

• Title: Advanced Power System Protection | Wigner Distribution Function and Alienation Coefficient Based Power System Protection Methodology
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 6204208608
• ISBN 13: 9786204208602
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 125 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book elaborates in depth knowledge for efficient detection and classification of various power system faults (such as LG, LL, LLG and LLLG) based on some advanced signal processing methods and approaches. It mainly proposes an appropriate fault index based on features extracted from current and voltage signals using the Alienation coefficient and Wigner distribution function. The fault index (FI) is computed using element to element multiplication of current-based Wigner distribution index (WD-index) and voltage-based alienation index (ALN-index). The performance of the proposed algorithm is tested under different operating scenarios such as fault at different locations on hybrid grid, different fault incident angles, fault impedances, sampling frequency, hybrid line consisting of overhead (OH) line and underground (UG) cable sections, and presence of noise. It is further successfully tested for discriminating the switching events from the faulty events as well. This book offers rich elaborations, systematic content and comprehensive simulation case studies for postgraduate students, educators and practitioners in the domain of power system engineering.