This book provides a comprehensive study of the modeling, analysis, and control of wind farms and solar power stations. It starts with dynamic vector modeling methods for wind farms and solar power stations, which enhance modeling efficiency and model accuracy. Building upon this modeling framework, it also covers stability analysis and control methods for wind farms and solar power stations from both steady-state and transient perspectives. Lastly, considering the integration of energy storage into renewable energy power stations, the book explores the analysis and control of wind-energy storage and solar-energy storage hybrid systems. It adopts a holistic approach, establishing a fundamental framework for the topic, progressing from modeling to analysis and then to control, facilitating readers' comprehension. The book is targeted towards undergraduate and graduate students interested in renewable energy power stations, researchers focusing on station-level modeling, analysis, and control of renewable energy, as well as engineers in the field.

Details from modeling to analysis, and then to control with a holistic and step-by-step approach Introduces dynamic vector modeling methods for renewable energy farms, which enhance modeling efficiency and accuracy Analyzes the control of wind farms, photovoltaic farms, and wind-energy storage hybrid systems

Autorentext

Dr. Wei Yao received the B.S. and Ph.D. degrees in electrical engineering from the Huazhong University of Science and Technology (HUST), Wuhan, China, in 2004 and 2010, respectively. From 2010 to 2012, he was a Postdoctoral Researcher with the Department of Power Engineering, HUST and a Postdoctoral Research Associate with the Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K., from 2012 to 2014. He is currently a Professor with the School of Electrical and Electronics Engineering, HUST. Dr. Yao focuses on the research of stability analysis and control of AC/DC power systems with high proportion of renewable energy. His research interests include power system stability analysis and control, renewable energy, HVDC and DC Grid, and application of artificial intelligence in Smart Grid. Dr. Yao has successively led 5 National Natural Science Foundation projects and 1 National Key R&D Program project. He has published over 240 SCI/EI papers, including more than 100 papers as the first/corresponding author (including 3 ESI Hot Paper and 18 Highly Cited Papers), with an H-index of 35. Dr. Yao has been granted over 60 patents and has authored 5 software copyrights. He was selected as a "Highly Cited Researcher in China" by Elsevier for three consecutive years from 2021 to 2023, and was also ranked among the "Top 100,000 Scientists in the World" by the Global Scholarly Database. Additionally, he was recognized as one of the "Top 2% Scientists in the World" by Stanford University. He serves as an editorial board member or associate editor for 10 SCI/EI journals. Dr. Yongxin Xiong received B.S. and Ph.D. degrees in electrical engineering from the Huazhong University of Science and Technology (HUST), Wuhan, China, in 2017 and 2022, respectively. From 2022 to 2024, he was a Postdoctoral Researcher with the Energy Department, at Aalborg University, Aalborg, Denmark. Since 2024, he has been a Postdoctoral Researcher with the Department of Electrical and Electronic Engineering, at the Hong Kong Polytechnic University, Hong Kong, China. He focuses on the research of stability analysis and control of AC/DC power systems with a high proportion of renewable energy. His research interests include power system stability analysis and control, renewable energy, HVDC and DC Grid, and the coordination of control and system protections in grid-following and grid-forming VSC-connected systems. Dr. Xiong has published over 20 SCI/EI papers, including over 10 papers as the first/corresponding author (including 1 Highly Cited Paper). He served as the Guest Editor-in-Chief of Frontiers in Energy Research, and the reviewer for IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Systems, and IEEE Transactions on Power Delivery. Hongyu Zhou received the B.S. degree in electrical engineering from Southwest Jiaotong University, Chengdu, China, in 2020. He is currently working toward the Ph.D. degree in electrical engineering with the Huazhong University of Science and Technology, Wuhan, China. Mr. Zhou focuses on the research of Stability analysis and control of large-scale renewable energy grid integration systems. His research interests include Renewable energy, LCC/VSC HVDC, offshore wind power, fault ride-through. Mr. Zhou has led or participated in 5 research projects, including National Natural Science Foundation projects and National Key R&D Program projects. He has published over 30 SCI/EI papers, including more than 10 SCI papers as the first/corresponding author (including 1 ESI Hot Paper and 1 Highly Cited Paper), and has been granted more than 10 patents. He serves as an independent reviewer for 6 SCI/EI journals. Dr. Jinyu Wen received the B.S. and Ph.D. degrees in electrical engineering from the Huazhong University of Science and Technology (HUST), Wuhan, China, in 1992 and 1998, respectively. From 1996 to 1997, he

Inhalt

Vector Modeling of Large-Scale Wind Farm.- Vector Modeling of Large-Scale Photovoltaic Farm.- Analysis of the Impact of Grid Strength and PLL on the Stability of Wind Farms.- Impact of Frequency Control on the Stability of Wind-Solar Hybrid Systems.- Transient Stability Analysis and Control of Wind-Solar Converters.- Adaptive Distributed Fast Frequency Control for Wind Farms.- Stability Analysis and Control of Wind-Energy Storage Hybrid Systems.- Active Frequency Support Control for Wind-Energy Storage Hybrid Systems.- Stability Analysis and Control of Photovoltaic-Energy Storage Hybrid Systems.- Active Frequency Support Control for Photovoltaic-Energy Storage Hybrid Systems.