| Contents |
Renewable energy : opportunities, applications and future scope of artificial intelligence and internet of things / Dipanwita Ghosh, Arpan Adhikary, Asit Kumar Nayek, Sunanda Hazra -- Machine learning-enhanced maximum power point tracking for solar modules in photovoltaic systems / Prince Raj, Prasenjit Dey, Arnab Ghosh -- An alternative approach to the modeling of harmonic impedance of a salient pole synchronous generator / Adhir Baran Chattopadhyay, Sunanda Hazra, Rishabh Dev Shukla, Sudeshna Nath -- Neuro-fuzzy based optimization techniques / Asit Kumar Nayek, Jibendu Kumar Mantri, Arpan Adhikary, Sunanda Hazra -- OPF incorporating FACTS tools with renewable energy by GWA / Tushnik Sarkar, Susanta Dutta, Provas Kumar Roy, Sunanda Hazra, Chandan Paul, Sourav Paul, Sneha Sultana -- Solving of combined heat and power economic dispatch problem using evolutionary technic considering prohibited operating zone / Sameer Sharma, Pramit Ghosh, Chandan Paul, Sunanda Hazra -- Integrated modeling and fabrication of electric vehicle for multi-criteria framework based racing frontier ecosystems / Dharmbir Prasad, Rudra Pratap Singh, Sunetra Bhomik, Koushik Sarkar, Ranadip Roy, Jatin Anand -- Application of artificial intelligence in wind energy generation / Chikesh Ranjan, Apurba Kumar Roy, Kaushik Kumar -- Governing and empowering independent power producers in South Africa / Pfano Mashau, Jabulani Christopher Nyawo -- DQ current control strategies for single phase grid connected inverter / Pranati Purohit, Arnab Ghosh, Pravat Kumar Ray -- Chaotic quasi-oppositional differential search algorithm for transient stability constraint optimal power flow problem / Nirmalya Dey, Arko Ghosal, Sourav Paul, Sneha Sultana, Provas Kumar Roy -- Illuminating the path to a sustainable future by harnessing AI-powered renewable energy systems / Nipun Jain, Yusuf Olatunji Waidi, Samir Das, Ranjit Barua, Vilay Vannaladsaysy, Sudipto Datta. |
| Abstract |
"Dynamic intersection of Renewable Energy (RE) incorporated smart energy and Artificial Intelligence (AI) have aiming to unravel the potential synergies between these two transformative fields for a sustainable future. Renewable energy is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performance. However, the design and development of renewable energy systems remains a challenge. Advanced optimization techniques/AI/ML plays a crucial role in implementing the latest innovative research in the field of renewable energy integrated electrical systems. This book also provides practical challenges encountered, solutions and future scope to be adopted in the fields of renewable energy. Applications of varieties advanced optimization and AI techniques on the design and development of renewable energy integrated systems have been discussed to provide new solutions to the renewable energy domain. This book: Discusses modern modeling/control approaches for improving renewable energy integrating artificial intelligence-driven power systems. Cover the principles and methods of renewable energy generation technologies, an analysis of their implementation, management, and optimization, and related economic advantages. Provides critical information on the technological design and policy issues that must be taken into consideration while implementing a smart grid. Explains metaheuristic optimization algorithm for complex electrical systems, and whale optimization algorithm based multi-objective hydrothermal scheduling. Illustrates electric vehicle charging station in the distribution network, and transient stability constraint optimal power flow problem using chaotic quasi oppositional chemical reaction optimization. Covering topics such as Microgrids, Wind Power, Solar Photo Voltaic (PV), Optimal Power Flow (OPF), Grid Connected Inverter, Electric Vehicle, combined heat and power economic dispatch, FACTS tools for smart energy, Harmonic Impedance of a Salient pole Synchronous Generator (HI), Maximum Power Point Tracking (MPPT) and advanced optimization techniques are ideal for academicians, practitioners, teachers, engineers, industry professionals, researchers, and students in diverse fields including electrical engineering, electronics and communications engineering, energy, and environmental engineering"-- Provided by publisher. |
