Risk Based Assessment of Subsynchronous Resonance in AC/DC Systems

This relevant and timely thesis presents the pioneering use of risk-based assessment tools to analyse the interaction between electrical and mechanical systems in mixed AC/DC power networks at subsynchronous frequencies. It also discusses assessing the effect of uncertainties in the mechanical parameters of a turbine generator on SSR in a meshed network with both symmetrical and asymmetrical compensation systems. The research presented has resulted in 12 publications including three top international journal papers (IEEE Transactions on Power Systems) and nine international conference publications, including two award-winning papers. 

List of contents

Introduction.- Power System Modelling and SSR Analysis Methods.- Ranking of Generators Based on the Exposure to Subsynchronous Resonance.- Methodology for the Evaluation of Risk of Subsynchronous Resonance.- Influence of Uncertainties in Mechanical Parameters.- Optimal Series Compensation of Lines to Minimize the Exposure of Generators to SSR.- Future Work and Conclusions.

Summary

This relevant and timely thesis presents the pioneering use of risk-based assessment tools to analyse the interaction between electrical and mechanical systems in mixed AC/DC power networks at subsynchronous frequencies. It also discusses assessing the effect of uncertainties in the mechanical parameters of a turbine generator on SSR in a meshed network with both symmetrical and asymmetrical compensation systems. The research presented has resulted in 12 publications including three top international journal papers (IEEE Transactions on Power Systems) and nine international conference publications, including two award-winning papers. 

Product details

• Authors: Atia Adrees
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2018
• EAN: 9783319831695
• ISBN: 978-3-31-983169-5
• No. of pages: 218
• Dimensions: 155 mm x 13 mm x 235 mm
• Weight: 373 g
• Illustrations: XX, 218 p. 120 illus., 92 illus. in color.
• Series: Springer Theses; Springer Theses
• Subjects: Natural sciences, medicine, IT, technology > Physics, astronomy; C, Statistics, energy systems, engineering, Electrical Engineering, Energy technology & engineering, quality control, reliability, Probability & statistics, Power electronics, Electrical Power Engineering, Power Electronics, Electrical Machines and Networks, Industrial safety, Quality Control, Reliability, Safety and Risk, Mechanical Power Engineering, Security Science and Technology