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Monitoring and Control using Synchrophasors in Power Systems with Renewables. Energy Engineering - Product Image

Monitoring and Control using Synchrophasors in Power Systems with Renewables. Energy Engineering

  • ID: 4969211
  • Book
  • July 2020
  • Region: Global
  • IET Books
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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.

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- Chapter 1: Introduction
- Chapter 2: Renewable power system inter-harmonies 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 Measurement in Distributed Network
- 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
- 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: Conclusion
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Innocent Kamwa Research Scientist.
Hydro-Quebec Research Institute, Canada.

Innocent Kamwa is 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 an adjunct professor position at McGill University, and has received several IEEE awards.

Chao Lu Associate Professor.
Tsinghua University, Electrical Engineering Department, China.

Chao Lu is 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 70 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 Senior Research Assistant.
The University of Hong Kong, The Center for Electrical Energy Systems, Hong Kong, China.

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.

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