Monitoring and Control using Synchrophasors in Power Systems with Renewables

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 Université 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.

• Chapter 1: Introduction to synchrophasor measurements in modern power systems with renewablesPart I: Wide-area measurement, modeling, and identificationChapter 2: Renewable power system interharmonics monitoring based on PMUsChapter 3: Causality analysis in phasor measurement unit algorithmsChapter 4: Comprehensive modeling and parameter identification of wind farms based on wide-area measurement systemsChapter 5: Load modeling based on synchrophasor measurements Part II: Wide-area online dynamics monitoringChapter 6: Coherency identification of generators in interconnected power systems with renewablesChapter 7: A fast state estimator for systems including limited number of PMUsChapter 8: Response-based event detection for one-shot wide-area stability controlsChapter 9: Online short-term voltage stability monitoring based on wide-area trajectory data analyticsChapter 10: A hierarchical data-driven method for short-term voltage stability assessment of power systems Part III: Wide-area control and decision makingChapter 11: Impact of data quality on synchrophasor-based control to minimize wind curtailmentChapter 12: Power system controlled islanding schemesChapter 13: Intelligent voltage regulation scheme of active distribution networks with renewable energy integrationChapter 14: Analysis and compensation of multiple PMU data delays for frequency control in islanded microgridsChapter 15: Adaptive wide-area power oscillation damper design for photovoltaic plant considering delay compensationChapter 16: Phasor measurement unit-based wide-area control: integration, control, and challengesChapter 17: Future directions of power system monitoring and control using synchrophasors