Distributed Optimal Control of Large-Scale Wind Farm Clusters
Optimal Active and Reactive Power Control, and Fault Ride Through
- 1st Edition - March 29, 2025
- Latest edition
- Authors: Qiuwei Wu, Sheng Huang, Juan Wei, Pengda Wang, Canbing Li, Vladimir Terzija
- Language: English
Distributed Optimal Control of Large-Scale Wind Farm Clusters: Optimal Active and Reactive Power Control, and Fault Ride Through, a new volume in the Elsevier Wind Energy Engineeri… Read more
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Description
Description
Researchers, faculty, scientists, engineers, R&D, and other industry professionals, as well as graduate and postgraduate students studying and working in wind energy will find this comprehensive resource a valuable addition to their work.
Key features
Key features
- Presents the latest developments in the distributed optimal control of large-scale wind power plant clusters
- Covers both active and reactive power control, as well as techniques for high voltage ride through (HVRT)
- Provides methodologies to follow set-points from system operators in order to maintain expected voltages
- Includes control algorithms and codes for implementing the control schemes
Readership
Readership
Table of contents
Table of contents
1. Introduction to Large-Scale Wind Power Integration
Section II - Optimal Active Power Control of Large-Scale Wind Farm Clusters
2. Bi-Level Decentralized Active Power Control for Large-Scale Wind Farm Clusters
3. Optimal Active Power Control Based on MPC for DFIG-based Wind Farm Equipped with Distributed Energy Storage Systems
4. Hierarchical Active Power Control of DFIG-based Wind Farm with Distributed Energy Storage Systems based on Alternating Direction Method of Multipliers (ADMM)
5 Hierarchical Optimal Control for Synthetic Inertial Response of Wind Farm Based on Alternating Direction Method of Multipliers (ADMM)
Section III - Optimal Active and Reactive Power Control of Large-Scale Wind Farm Clusters
6. Bi-Level Decentralized Active and Reactive Power Control for Large-Scale Wind Farm Cluster
7. Two-Tier Combined Active and Reactive Power Control for VSC–HVDC Connected Large-Scale Wind Farm Cluster based on Alternating Direction Method of Multipliers (ADMM)
8. Distributed Optimal Active and Reactive Power Control for Wind Farms Based on ADMM
9. ADMM-based Distributed Active and Reactive Power Control for Regional AC Grids with Wind Farms
Section IV - Optimal Voltage Control of Large-Scale Wind Farm Clusters
10. Distributed Voltage Control based on ADMM for Large Scale Wind Farm Cluster connected to VSC HVDC
11. Distributed Optimal Voltage Control for VSC-HVDC Connected Large-Scale Wind Farm Cluster Based on Analytical Target Cascading Method
12. Adaptive Droop-based Hierarchical Optimal Voltage Control Scheme for VSC-HVDC Connected Offshore Wind Farm
13. Distributed Optimal Voltage Control Strategy for AC Grid with DC Connection and Offshore Wind Farms Based on Alternating Direction Method of Multipliers (ADMM)
Section V - Fault Ride Through of Wind Farm Clusters
14. Coordinated Droop Control and Adaptive Model Predictive Control for Enhancing HVRT and Post-Event Recovery of Large-Scale Wind Farms
15. Hierarchical Event-Triggered MPC-Based Coordinated Control for HVRT and Voltage Restoration of Large-Scale Wind Farms
16. Coordinated Voltage Support Control for Enhancing LVRT Capability of Large-Scale Wind Farms
Appendix I - Model predictive control basics, methods, and algorithms
Appendix II - Distributed control basics, methods, and algorithms
Product details
Product details
- Edition: 1
- Latest edition
- Published: March 29, 2025
- Language: English
About the authors
About the authors
QW
Qiuwei Wu
Qiuwei Wu received the PhD degree in Electrical Engineering from Nanyang Technological University, Singapore, in 2009. He is a professor with the School of Electronics, Electrical Engineering, and Computer Science (EEECS), Queen’s University Belfast, the UK. His research interests are distributed optimal operation and control of low carbon power and energy systems, including distributed optimal control of wind power, optimal operation of active distribution networks, and optimal operation and planning of integrated energy systems.
SH
Sheng Huang
Sheng Huang received the M.S. and Ph.D. degrees in electrical engineering from the College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2012 and 2016, respectively. Since 2023, he has been a Professor with College of Electrical and Information Engineering, Hunan University. His research interests include renewable energy generation, modeling and integration study of wind power, and permanent magnet synchronous motor systems.
JW
Juan Wei
Juan Wei is currently a Postdoc with the College of Electrical and Information Engineering, Hunan University, China. She received her B.S. and M.S. degrees in electrical engineering from the North China Electric Power University, Beijing, China, in 2011 and 2014, and obtained her PhD degree in electrical engineering from Hunan University, China, in 2022. Her research interests include wind power modeling and control, decentralized/distributed voltage control and optimal operation of integrated wind power systems, and high-voltage ride-through and post-event recovery control of large-scale wind farms. Dr. Wei is an Editor of Hunan Electric Power.
PW
Pengda Wang
Pengda Wang is a Research Associate with College of Electrical and Information Engineering, Hunan University, China. He obtained his PhD degree in Electrical Engineering from the Technical University of Denmark, Denmark, in 2022. His research interests lie in coordinated control of wind power and combined AC/DC grid, including distributed wind power modelling and control, voltage control and active/reactive power control of large-scale wind farms and combined AC/DC grid.
CL
Canbing Li
Canbing Li is currently a Professor with the School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China. He received his B.E. and Ph.D. degrees from Tsinghua University, Beijing, China, in 2001 and 2006, respectively, both in electrical engineering. His research interests include power systems, smart grid, renewable energy with an emphasis on large-scale power system dispatch, economic and secure operation of power systems, energy efficiency and energy saving in smart grid, electric demand management of data centers, vehicle-to-grid technologies.
VT