Chun Wei (Associate Professor, College of Information Engineering,, Dongliang Xiao (Senior Research Associate with the School of Electr, Xiaoqing Bai (Professor, School of Electrical Engineering, Institut

Broschiertes Buch

Wind Energy Systems

Control, Optimization, and Market Strategies

Beschreibung

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.

Autor

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.

Produktdetails

• Wind Energy Engineering
• Verlag: Elsevier Science Publishing Co Inc
• Seitenzahl: 358
• Erscheinungstermin: 24. Oktober 2025
• Englisch
• Abmessung: 228mm x 153mm x 21mm
• Gewicht: 584g
• ISBN-13: 9780443363528
• ISBN-10: 0443363528
• Artikelnr.: 73221084