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Power Systems

Solar Photovoltaic Power Plants

Advanced Control and Optimization Techniques

Editors: Precup, Radu-Emil, Kamal, Tariq, Zulqadar Hassan, Seyd (Eds.)

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  • Discusses control and optimization techniques in the broadest sense, covering new theoretical results and the applications of newly developed methods in PV systems
  • Goes beyond classical control techniques
  • Presents strategies that enhance the performance of the PV systems and decrease the cost per kilowatt-hour generated
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eBook $89.00
price for USA in USD (gross)
  • ISBN 978-981-13-6151-7
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  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
  • ISBN 978-981-13-6150-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book discusses control and optimization techniques in the broadest sense, covering new theoretical results and the applications of newly developed methods for PV systems. Going beyond classical control techniques, it promotes the use of more efficient control and optimization strategies based on linearized models and purely continuous (or discrete) models. These new strategies not only enhance the performance of the PV systems, but also decrease the cost per kilowatt-hour generated. 

About the authors

Radu-Emil Precup received his Dipl.Ing. degree in Automation and Computers from the Traian Vuia Polytechnic Institute of Timisoara, Romania, in 1987, his diploma in Mathematics from the West University of Timisoara in 1993, and his Ph.D. degree in Automated Systems from the Politehnica University of Timisoara in 1996, where he is currently working.  He has been an Editor-in-Chief of the International Journal of Artificial Intelligence since 2008 and also serves on the editorial boards of several other prestigious journals including Applied Soft Computing (Elsevier), Evolving Systems (Springer) and Cogent Engineering (Taylor & Francis). He is the author/coauthor of more than 300 papers published in various scientific journals, conference proceedings, and book chapters. His research interests mainly include the development and analysis of new control structures and algorithms, theory and applications of soft computing, computer-aided design of control systems, and applications to mechatronic systems (including automotive systems and mobile robots). Among other achievements, he was listed as one of the top 10 researchers in Artificial Intelligence and Automation (IIoT World July 2017).
Tariq Kamal holds doctorates in Energy and Sustainability Engineering from the University of Cadiz, Spain; and in Electrical Power and Control Engineering from Sakarya University, Turkey. His research interests include advanced intelligent control techniques for power systems; hybrid renewable energy systems; plug-in hybrid electric vehicles and their integration in power systems; distributed generation; smart grid applications; and the application of signal processing in power systems. Currently, he is working with the research group on Electrical Technologies for Sustainable and Renewable Energy, University of Cadiz, Spain. He is the author/co-author of more than 50 papers published in various international scientific journals and conference proceedings. He has been involved in major joint projects around the globe, including Spain, Turkey, Australia, China, the UK, Pakistan and Estonia, and has been a regular reviewer for many leading international journals, including IEEE Transactions on Industrial Electronics, IEEE access, and Applied Energy.
Syed Zulqadar Hassan received his Ph.D. degree in Electrical Engineering from Chongqing University, China. His research interests include fuzzy logic, neural networks, optimal control, adaptive control, integration of renewable energies, smart grids and the application of signal processing (wavelets) in power systems. He has contributed more than 45 publications in the field of Electrical Engineering, and frequently serves as a reviewer for IEEE journals and international conferences. 

Table of contents (11 chapters)

Table of contents (11 chapters)
  • Adaptive Control Techniques for Three-Phase Grid-Connected Photovoltaic Inverters

    Pages 1-24

    Hong, Wanshi (et al.)

  • Application of Sliding-Mode Control for Maximum Power Point Tracking of PV Systems

    Pages 25-43

    Mojallizadeh, M. R. (et al.)

  • Predictive Control of Four-Leg Converters for Photovoltaic Energy Systems

    Pages 45-69

    Yaramasu, Venkata (et al.)

  • A Novel Maximum Power Point Tracking Method for Photovoltaic Application Using Secant Incremental Gradient Based on Newton Raphson

    Pages 71-96

    Nowdeh, Saber Arabi (et al.)

  • Study on Control of Hybrid Photovoltaic-Wind Power System Using Xilinx System Generator

    Pages 97-120

    Chettibi, Nadjwa (et al.)

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-981-13-6151-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
  • ISBN 978-981-13-6150-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Solar Photovoltaic Power Plants
Book Subtitle
Advanced Control and Optimization Techniques
Editors
  • Radu-Emil Precup
  • Tariq Kamal
  • Seyd Zulqadar Hassan
Series Title
Power Systems
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-6151-7
DOI
10.1007/978-981-13-6151-7
Hardcover ISBN
978-981-13-6150-0
Series ISSN
1612-1287
Edition Number
1
Number of Pages
XVII, 250
Number of Illustrations
79 b/w illustrations, 95 illustrations in colour
Topics