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      Power Swing Detection and Generator Out-of-Step Protection Under Renewable Power Source Integration

      AvJignesh Kumar P. Desai,Vijay Makwana

      Häftad, Engelska, 2024

      Del i serien Energy Systems in Electrical Engineering

      1 769 kr

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      1 769 kr

      Övrigt

      652 kr

      Beskrivning

      This monograph focuses on the modern power system and its reliable operation on a national scale. The contents focus on the analysis and root cause of different power system blackouts, the introduction of a phasor measurement unit incorporating a polygon-shaped graphical algorithm for out-of-step protection of the synchronous generator, predictive out-of-step protection, dual-slope relay setting, novel apparent stability concept, among others. This volume will be beneficial to academia and industry during the testing, development, and modeling of protective relays for generators, transformers, and transmission lines.

      Produktinformation

      • Utgivningsdatum:2024-03-27
      • Mått:155 x 235 x 9 mm
      • Vikt:230 g
      • Format:Häftad
      • Språk:Engelska
      • Serie:Energy Systems in Electrical Engineering
      • Antal sidor:119
      • Förlag:Springer Verlag, Singapore
      • ISBN:9789811995484

      Utforska kategorier

      • Energiteknik inom Naturvetenskap och teknik

      Mer om författaren

      Dr. Jigneshkumar P. Desai received his Ph.D. in Electrical Engineering from Gujarat Technological University, India, in 2022. He is working as an Assistant Professor in the Electrical Department at the U.V. Patel College of Engineering at Ganpat University, India. He has 10 years of experience as an Assistant Professor. He worked in the industry for one year and six months. He has so far had six research articles published in peer-reviewed journals that are indexed by SCI/Scopus. More than four research publications were presented and published at international IEEE conferences. He is invited to be a reviewer for the IEEE Transaction on Power Systems. He has published two books and two book chapters with an international publisher. He has filed and published one patent and one design with the Indian Patent Office (IPO). Power system protection and AI for power system protection are some of his research interests.Dr. Vijay Makwana is a Professor in the Electrical Department of G H Patel College of Engineering & Technology, Vallabh Vidyanagar. He completed BE (Electrical Engineering) and ME (Electrical Power Systems) from BVM Engineering College, Sardar Patel University, in 1999 and 2002. He obtained Ph.D. in Electrical Engineering from Sardar Patel University in 2013. He has 20 years of teaching experience. His research interests include power system protection, reactive power compensation and FACTS. During his academic career, he guided 70 BE, 7 ME, and 2 Ph.D. students. Presently, he is guiding 3 Ph.D. students studying at Gujarat Technological University. He has published 18 papers in international peer-reviewed SCI and Scopus-indexed journals and 10 papers in international conferences. He has written a book “Power System Protection and Switchgear” published by Tata McGraw Hill in 2010 and a monograph “Transmission Line Protection Using Digital Technology” published by Springer in 2016.

      Innehållsförteckning

      • Introduction.- The state of the art of the research problem.- Major Blackouts and their Impacts.- Analysis of blackouts around the globe.- Adaptive Out of Step Protection of Synchronous Generator.- Mathematical Analysis of Proposed Out Of Step Protection Scheme.- Implementation and Testing of the proposed algorithm.- Performance test of the proposed algorithm.- Power Swing Blocking Algorithm based on Real and Reactive Power Transient Stability.- Modeling and Implementation of Percentage Bias Differential Relay with DualSlope Characteristic.- Predictive Out Of Step Protection.- Modeling of Synchronous Generator with the turbine, exciter, AVR, Governor and PSS.- Comparison with existing methodology.- A Novel Out of Step Relaying Algorithm based on Wavelet Transform and Deep Learning Machine Model.- Development of the proposed algorithm.- Performance validation by unknown events.- Development and performance validation of the proposed algorithm on a 29-bus system.- Conclusions and Scope of the future work.
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