Buch, Englisch, 119 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 415 g
Buch, Englisch, 119 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 415 g
Reihe: Energy Systems in Electrical Engineering
ISBN: 978-981-19-9545-3
Verlag: Springer Nature Singapore
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Energiewirtschaft: Alternative & Erneuerbare Energien
- Technische Wissenschaften Energietechnik | Elektrotechnik Energietechnik & Elektrotechnik
Weitere Infos & Material
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.