Overview

Power systems are becoming increasingly complex, handling rising shares of distributed intermittent renewable generation, EV charging stations, and storage. To ensure power availability and quality, the grid needs to be monitored as a whole, by wide area monitoring (WAM), not just in small sections separately. Parameter oscillations need to be detected and acted upon. This requires sensors, data assimilation and visualization, comparison with models, modelling, and system architectures for different grid types. This hands-on reference for researchers in power systems, professionals at grid operators and grid equipment manufacturers, as well as for advanced students, offers a comprehensive treatment of advanced data-driven signal processing techniques for the analysis and characterization of system data and transient oscillations in power grids. Algorithms and examples help readers understand the material. Challenges involved in realistic monitoring, visualization, and analysis of actual disturbance events are emphasized. Chapters in this second edition cover WAM and analysis systems, WAM system architectures, modelling of power system dynamic processes, data processing and feature extraction, multi-sensor multitemporal data fusion, WAM of power systems with high penetration of distributed generation, distributed wide-area oscillation monitoring, near real-time analysis and monitoring, and interpretation and visualization of wide-area PMU measurements.

Full Product Details

Author:   Arturo Román Messina (Researcher, National Polytechnic Institute of Mexico, Centre for Research and Advanced Studies, Mexico)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
Edition:   2nd edition
ISBN:  

9781839535451

ISBN 10:   1839535458
Pages:   421
Publication Date:   10 November 2022
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Chapter 1: Wide-area monitoring and analysis systems Chapter 2: Wide-area monitoring system architectures Chapter 3: Spatio-temporal modeling of power system dynamic processes Chapter 4: Advanced data processing and feature extraction Chapter 5: Multisensor multitemporal data fusion Chapter 6: Monitoring the status of the system Chapter 7: Wide-area monitoring of power systems with high penetration of distributed generation Chapter 8: Distributed wide-area oscillation monitoring Chapter 9: Near real-time analysis and monitoring Chapter 10: Interpretation and visualization of wide-area phasor measurement unit measurements Appendix A: Physical meaning of proper orthogonal modes Appendix B: Data for the 5-machine 10-bus test system Appendix C: Masking techniques to improve empirical mode decomposition

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Author Information

Arturo Román Messina is a researcher at the Centre for Research and Advanced Studies of the National Polytechnic Institute of Mexico. He serves on the boards of Electric Power Systems Research and Electric Power Components and Systems. An IEEE Fellow for contributions to power system analysis, he was the secretary and chair of the Power System Stability and Control group of the Power Systems Dynamics and Control (PSDC) subcommittee and has (co-)authored several books.

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