The book provides a comprehensive review of developments in all aspects of solar photovoltaic technology in a single volume. It discusses Maximum power point tracking control for achieving maximum possible power, robust control to maintain stable operation under varying internal as well as the ambient environment, etc.
The book provides a comprehensive review of developments in all aspects of solar photovoltaic technology in a single volume. It discusses Maximum power point tracking (MPPT) control for achieving maximum possible power, robust control to maintain stable operation under varying internal as well as the ambient environment, inverter control for constant frequency operation, and automating the maintenance of photovoltaic solar plants.
This book:
- Presents modeling methods based on mathematical and physical principles for solar photovoltaic cells, power Quality Analysis of Rooftop Grid-Connected PV, PV generation analyzed by bidirectional long short-term memory networks (BiLSTM) the performance reliability of the bifacial module and the Control System of the Synchronous Reference CCVSI for Active Power Injection.
- Provides an overview of SPECS control, various control loops, control algorithms, controllers, and their impact for the prosumer and the smart grid and discusses instantaneous Power Theory (pq Theory).
- Covers control techniques of power electronic converters, optimization techniques, and management of the grid-connected solar PV arrays, qualification testing of bifacial modules as per IEC- 61215: 2021 and IEC 61730 and includes analytical approach elaborated for the performance of a building-integrated solar PV/T system.
- Discusses comprehensively reviews degradation mechanisms, characterization techniques and occurrence frequencies based on field testing, long-term analyses of PV installations, harmonic compensation and the enhancement of Power Quality for the entire system, novel approach of developing an effective and systematic brownout procedure and novel game theory auctioning framework for trading energy in smart grids and explains Gbest-guided Artificial Bee Colony (GABC) optimization.
- Includes real-life case studies.
It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communications engineering, environmental engineering, and renewable energy.
I. SOLAR PHOTOVOLTAIC FUNDAMENTALS.
1. SOLAR PHOTOVOLTAIC CELL: HISTORY,
WORKING PRINCIPLE AND LANDSCAPE.
2. SIGNIFICANCE OF SHADOW AND SHADING
ANALYSIS IN SOLAR POWER PROJECTS. II. SOLAR PHOTOVOLTAIC MODELING AND
PERFORMANCE ANALYSIS.
3. PREDICTION OF PHOTOVOLTAIC GENERATION USING DEEP
LEARNING NEURAL NETWORKS WITH HYPERPARAMETER OPTIMIZATION.
4. BIFACIAL PV
TECHNOLOGY: PERFORMANCE ANALYSIS AND APPLICATIONS.
5. PERFORMANCE DEGRADATION
OF PHOTOVOLTAIC MODULE.
6. PERFORMANCES ANALYSIS OF A BUILDING INTEGRATED
SOLAR PV/T SYSTEM LOCATED IN GULMARG. III. CONTROL AND MANAGEMENT OF SOLAR
PHOTOVOLTAICS.
7. MULTI-FUNCTIONAL PROSUMER CONVERTERS DESIGN AND CONTROL FOR
SOLAR PHOTOVOLTAIC ENERGY CONVERSION SYSTEMS.
8. INVERTERS FOR PHOTOVOLTAIC
GENERATION: NOVEL FEATURES.
9. MULTIFUNCTIONAL INVERTERS CONNECTED TO LV
MICROGRIDS: CASES STUDY. IV. DATA SCIENCE AND CYBER SECURITY IN SMART GRIDS.
10. A BI-LEVEL PROGRAMMING APPROACH FOR SOLAR POWER INTEGRATION IN
DISTRIBUTION FEEDER.
11. IMPLEMENTING BROWNOUT THROUGH A FAIR ALLOCATION
SCHEME.
12. USING A NOVEL GAME THEORY AUCTIONING FRAMEWORK FOR TRADING ENERGY
IN SMART GRIDS.
13. POWER QUALITY ANALYSIS OF ROOFTOP GRID-CONNECTED PV IN
COMPOSITE CLIMATE: A CASE STUDY.
Dhiraj Magare is an Associate Professor and Smart Grid Lab in-charge in the Department of Electronics and Communication Engineering, D.Y. Patil School of Engineering, Ramrao Adik Institute of Engineering, Nerul, Navi Mumbai. He obtained his B.E. in Instrumentation Engineering from the Government College of Engineering, Jalgaon, Maharashtra, India, and did his M.Tech. in Instrumentation Engineering from Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, Maharashtra, India. He worked in embedded industrial automation and industrial control systems. He has around 15 years of industrial/teaching experience. He has contributed a Scilab-based global optimization toolbox for worldwide use; downloads reached up to 9000. He has published more than 30 international journal and conference papers in the area of estimation of environmental effects on different PV technology modules, thermal modeling, and simulation. In addition, it analyzes the PV module performance of different technologies. He actively contributed to the India-UK joint project Stability and Performance of Photovoltaics, under which he visited Loughborough University, UK, for part of his research and also visited CREST, Loughborough University, UK, as part of his research activity of IndiaUK project. Recently, this project received the British Council-CII Award for Excellence in Research. Received the Best Innovator award for the mentoring project presented at a regional meeting by the Ministry of Educations Institution Innovation Council in 2024. Completed Foundation and Advance Level certification as Innovation Ambassador from Ministry of Education Innovation Cell & AICTE during 2022-2023.
Prasiddh Trivedi is Assistant Professor and Program Coordinator of Electrical Engineering at Gati Shakti Vishwavidyalaya, Vadodara. He obtained PhD from IIT Bombay and MTech from IIT-BHU. He has been a visiting research scholar at Leicester University as part of UKIERI initiative. Dr Trivedi has authored over 20 international journal and conference papers in the area of nonlinear, robust, and sliding mode control. His current research interests include robust and nonlinear control, e-mobility, and Digital twins. He is also a co-founder of a tech start-up manufacturing heavy-duty industrial fans.
Kedar V. Khandeparkar is working as an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology, Dharwad, India. His scientific research area interests include Cyber-Physical Systems, Data Science and Cyber Security in Smart Grids, and Applied Machine Learning.
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