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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.
List of contents
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.
About the author
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 India-UK 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 Education's 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.
