Monitoring and Control using Synchrophasors in Power Systems with Renewables
Published on 31. August 2020
Book
Hardback
478 pages
978-1-78561-477-4 (ISBN)
Description
With the integration of more distributed or aggregated renewables, and the wide utilization of power electronic devices, modern power systems are facing new stability and security challenges, such as the weakly damped oscillation caused by wind farms connected through long distance transmission lines, the frequency stability problem induced by the reduction of inertia and the voltage stability issue resulting from the interactions between transmission systems and dynamic loads.
Meanwhile, synchronized phasor measurement technology developed very fast in the last decade, and more phasor measurement units (PMUs) and wide area measurement systems (WAMSs) have been deployed. These provide more insights into the system dynamics and approaches to overcoming the new challenges.
This book addresses the emerging concepts, methodologies and applications of wide area monitoring, control and protection in power systems with integrated large scale renewables. Chapters cover monitoring, modelling and validation, control, and data mining with an emphasis on synchrophasor technology, and experiences with real power grids.
Meanwhile, synchronized phasor measurement technology developed very fast in the last decade, and more phasor measurement units (PMUs) and wide area measurement systems (WAMSs) have been deployed. These provide more insights into the system dynamics and approaches to overcoming the new challenges.
This book addresses the emerging concepts, methodologies and applications of wide area monitoring, control and protection in power systems with integrated large scale renewables. Chapters cover monitoring, modelling and validation, control, and data mining with an emphasis on synchrophasor technology, and experiences with real power grids.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 239 mm
Width: 163 mm
Thickness: 28 mm
Weight
885 gr
ISBN-13
978-1-78561-477-4 (9781785614774)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Innocent Kamwa is a Research Scientist at Hydro-Quebec Research Institute, specializing in system dynamics, power grid control, wind energy, and storage integration studies. He became Chief Scientist for smart grid in 2009, and Head of Power System and Mathematics in 2014, overseeing the Hydro-Quebec Network Simulation Centre, and Acting Scientific Director of IREQ in 2016. He holds Adjunct Professor positions at McGill University and Universite Laval.
Chao Lu is an Associate Professor of Electrical Engineering Department at Tsinghua University. His research interests include complex system analysis and control in smart grid, wide-area measurement systems, and applications of energy storage systems. He has published more than 130 academic papers and been awarded ten academic and scientific awards. He is an IEEE senior member, and also serves on the boards of key journals, including IET Generation, Transmission & Distribution.
Lipeng Zhu received his Ph.D. degree in Electrical Engineering from Tsinghua University, Beijing, China, in 2018. He is currently working as a Senior Research Assistant in The Center for Electrical Energy Systems, The University of Hong Kong, Hong Kong, China. His research interests mainly include PMU data analysis, spatial-temporal data analytics, and data-driven power system stability and control.
Chao Lu is an Associate Professor of Electrical Engineering Department at Tsinghua University. His research interests include complex system analysis and control in smart grid, wide-area measurement systems, and applications of energy storage systems. He has published more than 130 academic papers and been awarded ten academic and scientific awards. He is an IEEE senior member, and also serves on the boards of key journals, including IET Generation, Transmission & Distribution.
Lipeng Zhu received his Ph.D. degree in Electrical Engineering from Tsinghua University, Beijing, China, in 2018. He is currently working as a Senior Research Assistant in The Center for Electrical Energy Systems, The University of Hong Kong, Hong Kong, China. His research interests mainly include PMU data analysis, spatial-temporal data analytics, and data-driven power system stability and control.
Content
Chapter 1: Introduction to synchrophasor measurements in modern power systems with renewables
Part I: Wide-area measurement, modeling, and identification
Chapter 2: Renewable power system interharmonics monitoring based on PMUs
Chapter 3: Causality analysis in phasor measurement unit algorithms
Chapter 4: Comprehensive modeling and parameter identification of wind farms based on wide-area measurement systems
Chapter 5: Load modeling based on synchrophasor measurements
Part II: Wide-area online dynamics monitoring
Chapter 6: Coherency identification of generators in interconnected power systems with renewables
Chapter 7: A fast state estimator for systems including limited number of PMUs
Chapter 8: Response-based event detection for one-shot wide-area stability controls
Chapter 9: Online short-term voltage stability monitoring based on wide-area trajectory data analytics
Chapter 10: A hierarchical data-driven method for short-term voltage stability assessment of power systems
Part III: Wide-area control and decision making
Chapter 11: Impact of data quality on synchrophasor-based control to minimize wind curtailment
Chapter 12: Power system controlled islanding schemes
Chapter 13: Intelligent voltage regulation scheme of active distribution networks with renewable energy integration
Chapter 14: Analysis and compensation of multiple PMU data delays for frequency control in islanded microgrids
Chapter 15: Adaptive wide-area power oscillation damper design for photovoltaic plant considering delay compensation
Chapter 16: Phasor measurement unit-based wide-area control: integration, control, and challenges
Chapter 17: Future directions of power system monitoring and control using synchrophasors
Part I: Wide-area measurement, modeling, and identification
Chapter 2: Renewable power system interharmonics monitoring based on PMUs
Chapter 3: Causality analysis in phasor measurement unit algorithms
Chapter 4: Comprehensive modeling and parameter identification of wind farms based on wide-area measurement systems
Chapter 5: Load modeling based on synchrophasor measurements
Part II: Wide-area online dynamics monitoring
Chapter 6: Coherency identification of generators in interconnected power systems with renewables
Chapter 7: A fast state estimator for systems including limited number of PMUs
Chapter 8: Response-based event detection for one-shot wide-area stability controls
Chapter 9: Online short-term voltage stability monitoring based on wide-area trajectory data analytics
Chapter 10: A hierarchical data-driven method for short-term voltage stability assessment of power systems
Part III: Wide-area control and decision making
Chapter 11: Impact of data quality on synchrophasor-based control to minimize wind curtailment
Chapter 12: Power system controlled islanding schemes
Chapter 13: Intelligent voltage regulation scheme of active distribution networks with renewable energy integration
Chapter 14: Analysis and compensation of multiple PMU data delays for frequency control in islanded microgrids
Chapter 15: Adaptive wide-area power oscillation damper design for photovoltaic plant considering delay compensation
Chapter 16: Phasor measurement unit-based wide-area control: integration, control, and challenges
Chapter 17: Future directions of power system monitoring and control using synchrophasors