Wind Energy Systems: Control, Optimization, and Market Strategies, the latest volume in the
Elsevier Wind Energy Engineering series, presents in-depth coverage of the technical aspects of controlling and optimizing wind energy resources, including advanced control strategies to enhance anti-disturbance and stable operation. The book begins by introducing wind energy resources in power systems and provides an overview of control, optimization methods, and market strategies. This is followed by individual chapters that detail advanced methods and approaches, moving from traditional centralized electricity grids characterized by source-grid-load systems to systems that integrate storage of energy, thus source-grid-load-storage electricity grids.
Users will find cutting-edge knowledge supported by case studies, practical applications, and code. This latest volume will be of interest to those involved in the planning, design, operation, and maintenance of wind energy systems, including researchers, students, faculty, engineers, industry practitioners, and R&D professionals.
- Shares the latest research findings in the control and optimization of wind energy systems, along with their market strategies
- Describes advanced control strategies of grid-connected wind energy conversion systems in the safe and stable operation of power systems
- Examines optimal operation strategies of power systems, considering the uncertainty of wind power
- Includes case studies and real-world examples and provides codes for optimization strategies and algorithms
Dr. Chun Wei is an Associate Professor at the College of Information Engineering, Zhejiang University of Technology, China. He received his Ph.D. from the University of Nebraska–Lincoln in 2016 and was a Postdoctoral Researcher with the ABB Corporate Research Center, Raleigh, NC, USA, in 2017. His research interests include wind energy generation systems, integrated energy systems, artificial intelligence, and power electronics. He is the principal investigator of one national project, two provincial projects, and multiple industrial projects on wind energy and power systems. Dr. Wei is the author or coauthor of more than 40 academic papers in peer-reviewed journals and conference proceedings. He is the lead guest editor of Complexity, and the co-guest editor of Frontiers in Energy Research, and Sustainability. He is a reviewer of more than 20 academic journals, has over 1,300 citations on Google Scholar, and was selected as one of the world's top 2% scientists in the field of power and energy by Stanford University in 2023.
Dr. Dongliang Xiao is a Senior Research Associate with the School of Electric Power, South China University of Technology. He received his Ph.D. from the University of Nebraska–Lincoln and was a Research Intern with Mitsubishi Electric Research Laboratories (USA). He is the principal investigator of one national project, two provincial projects, and multiple industrial projects on renewable energy in China, and his research interests focus on optimization and risk management of renewable energy systems. Dr. Xiao is the author or coauthor of more than 30 academic papers in peer-reviewed journals and conference proceedings, which includes two first-author ESI highly cited (top 1%) papers on wind energy. He is associate editor of Protection and Control of Modern Power Systems, lead guest editor of Frontiers in Energy Research, and co-guest editor of Sustainability. Additionally, he is the early career editorial board member of the journals Energy Engineering and Clean Energy Science and Technology. Dr. Xiao is local chair of the 13th International Conference on Power and Energy Systems (ICPES 2023), session chair of two international conferences, and technical/program committee member of six international conferences. He is recognized as an outstanding reviewer of the International Conference on Frontiers of Energy and Environment Engineering in 2022 (CFEEE 2022), and he is invited reviewer of over 30 academic journals indexed by SCI.
Dr. Xiaoqing Bai is a Professor at the School of Electrical Engineering, Institute of Power System Optimization, Guangxi University, China. Her research field falls in power system operation and the electricity market based on optimization theory. She focuses on robust optimization programming problems considering the uncertainty caused by renewable generation resources, such as wind power. She has worked in research and teaching in power system optimization for over 20 years. Prof. Bai has been the principal investigator or co-PI of five NSFC projects and has published over 100 peer-reviewed journal papers. She is a reviewer of more than 20 academic journals, and has over 2,000 citations on Google Scholar.
Dr. Zhe Zhang is an Engineering Manager with the Power Electronics and Battery Center of Excellence at Eaton Corporation, Raleigh, NC, USA. He received his Ph.D. in electrical engineering from the University of Nebraska-Lincoln, Lincoln, NE, USA 2015. His research interests include wind power control, power electronics, and motor drives with applications in automotive, energy storage systems, backup power, etc. He is the author or co-author of more than 20 technical papers in refereed journals, conference proceedings, and 16 US patents. He was the topic chair for the premier IEEE conference ECCE from 2019 to 2021.
