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Solar Photovoltaic Power Plants

Advanced Control and Optimization Techniques

  • Radu-Emil Precup
  • Tariq Kamal
  • Syed Zulqadar Hassan
Book

Part of the Power Systems book series (POWSYS)

Table of contents

  1. Front Matter
    Pages i-xvii
    PDF
  2. Adaptive Control Techniques for Three-Phase Grid-Connected Photovoltaic Inverters
    Wanshi Hong, Gang Tao, Hong Wang
    Pages 1-24
  3. Application of Sliding-Mode Control for Maximum Power Point Tracking of PV Systems
    M. R. Mojallizadeh, M. A. Badamchizadeh
    Pages 25-43
  4. Predictive Control of Four-Leg Converters for Photovoltaic Energy Systems
    Venkata Yaramasu, Marco Rivera, Apparao Dekka, Jose Rodriguez
    Pages 45-69
  5. A Novel Maximum Power Point Tracking Method for Photovoltaic Application Using Secant Incremental Gradient Based on Newton Raphson
    Saber Arabi Nowdeh, Mohammad Jafar Hadidian Moghaddam, Manoochehr Babanezhad, Iraj Faraji Davoodkhani, Akhtar Kalam, Abdollah Ahmadi et al.
    Pages 71-96
  6. Study on Control of Hybrid Photovoltaic-Wind Power System Using Xilinx System Generator
    Nadjwa Chettibi, Adel Mellit
    Pages 97-120
  7. Artificial Intelligence for Photovoltaic Systems
    Rami Ghannam, Paulo Valente Klaine, Muhammad Imran
    Pages 121-142
  8. Applications of Improved Versions of Fuzzy Logic Based Maximum Power Point Tracking for Controlling Photovoltaic Systems
    R. Boukenoui, A. Mellit
    Pages 143-164
  9. A New Method for Generating Short-Term Power Forecasting Based on Artificial Neural Networks and Optimization Methods for Solar Photovoltaic Power Plants
    Tugce Demirdelen, Inayet Ozge Aksu, Burak Esenboga, Kemal Aygul, Firat Ekinci, Mehmet Bilgili
    Pages 165-189
  10. Evaluation on Training Algorithms of Back Propagation Neural Network for a Solar Photovoltaic Based DSTATCOM System
    Nor Hanisah Baharudin, Tunku Muhammad Nizar Tunku Mansur, Rosnazri Ali, Muhammad Irwanto Misrun
    Pages 191-207
  11. Power Extraction from PV Module Using Hybrid ANFIS Controller
    Tata Venkat Dixit, Anamika Yadav, S. Gupta, Almoataz Y. Abdelaziz
    Pages 209-232
  12. An Online Self Recurrent Direct Adaptive Neuro-Fuzzy Wavelet Based Control of Photovoltaic Systems
    Syed Zulqadar Hassan, Tariq Kamal, Sidra Mumtaz, Laiq Khan
    Pages 233-250

About this book

Introduction

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. 

Keywords

Type-I and Type-II fuzzy control Fuzzy sliding control Fuzzy coupled hopfield neural network Adaptive fuzzy sliding control Double-integral sliding-mode control Second-order sliding-mode control adaptive neuro-fuzzy control Model predictive neuro-fuzzy control Optimizing PV plants

Editors and affiliations

  • Radu-Emil Precup
    • 1
  • Tariq Kamal
    • 2
  • Syed Zulqadar Hassan
    • 3
  1. 1.Faculty of Automation and ComputersPolitehnica University of TimișoaraTimișoaraRomania
  2. 2.Department of Electrical and Electronics EngineeringSakarya UniversitySerdivan/SakaryaTurkey
  3. 3.School of Electrical EngineeringChongqing UniversityChongqingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-6151-7
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Energy
  • Print ISBN 978-981-13-6150-0
  • Online ISBN 978-981-13-6151-7
  • Series Print ISSN 1612-1287
  • Series Online ISSN 1860-4676
  • Buy this book on publisher's site
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