Ritu Kandari – författare

Control of Standalone Microgrid looks at a practical and systematic elaboration of the architecture, design and control of standalone microgrids. It is oriented towards more advanced readers who want to enhance their knowledge in the fields of power engineering, sustainable energy, microgrids and their control.

With an enriched collection of topics pertaining to the architecture and control of standalone microgrids, this book presents recent research that will bring advancements in the current power system scenario, discussing operational and technical issues due to high penetration of distributed generation units.

Including executable plans for standalone microgrid systems this book enables researchers and energy executives to understand the future of energy delivery systems as well as global case studies and models to apply control techniques for standalone microgrids and protection schemes which provide a deeper level of understanding.

Includes significant case studies and global case studies of control techniques and protection schemes Provides a working guideline in the design, analysis and development of Standalone microgrid and its applications Features detailed description of the types and components of standalone microgrids, modeling and simulation and performance analysis

Control of Standalone Microgrid looks at a practical and systematic elaboration of the architecture, design and control of standalone microgrids. It is oriented towards more advanced readers who want to enhance their knowledge in the fields of power engineering, sustainable energy, microgrids and their control.With an enriched collection of topics pertaining to the architecture and control of standalone microgrids, this book presents recent research that will bring advancements in the current power system scenario, discussing operational and technical issues due to high penetration of distributed generation units.Including executable plans for standalone microgrid systems this book enables researchers and energy executives to understand the future of energy delivery systems as well as global case studies and models to apply control techniques for standalone microgrids and protection schemes which provide a deeper level of understanding.- Includes significant case studies and global case studies of control techniques and protection schemes- Provides a working guideline in the design, analysis and development of Standalone microgrid and its applications- Features detailed description of the types and components of standalone microgrids, modeling and simulation and performance analysis

Advances in Smart Grid Power System: Network, Control and Security discusses real world problems, solutions, and best practices in related fields. The book includes executable plans for smart grid systems, their network communications, tactics on protecting information, and response plans for cyber incidents. Moreover, it enables researchers and energy professionals to understand the future of energy delivery systems and security. Covering fundamental theory, mathematical formulations, practical implementations, and experimental testing procedures, this book gives readers invaluable insights into the field of power systems, their quality and reliability, their impact, and their importance in cybersecurity. Includes supporting illustrations and tables along with valuable end of chapter reference sets Provides a working guideline for the design and analysis of smart grids and their applications Features experimental testing procedures in smart grid power systems, communication networks, reliability, and cybersecurity

Advances in Smart Grid Power System: Network, Control and Security discusses real world problems, solutions, and best practices in related fields. The book includes executable plans for smart grid systems, their network communications, tactics on protecting information, and response plans for cyber incidents. Moreover, it enables researchers and energy professionals to understand the future of energy delivery systems and security. Covering fundamental theory, mathematical formulations, practical implementations, and experimental testing procedures, this book gives readers invaluable insights into the field of power systems, their quality and reliability, their impact, and their importance in cybersecurity.- Includes supporting illustrations and tables along with valuable end of chapter reference sets- Provides a working guideline for the design and analysis of smart grids and their applications- Features experimental testing procedures in smart grid power systems, communication networks, reliability, and cybersecurity

Microgrids: Modeling, Control, and Applications presents a systematic elaboration of different types of microgrids, with a particular focus on new trends and applications. The book includes sections on AC, DC and hybrid AC/DC microgrids and reflects state-of-the-art developments, covering theory, algorithms, simulations, error and uncertainty analysis, as well as novel applications of new control techniques. Offering a valuable resource for students and researchers working on the integration of renewable energy with existing grid and control of microgrids, this book combines recent advances and ongoing research into a single informative resource.

The book highlights recent findings while also analyzing modelling and control, thus making it a solid reference for researchers as well as undergraduate and postgraduate students.

Covers different types of microgrids and their architecture and control in a single book Includes original, state-of-the-art research contributions by international experts Features global case studies for better understanding and real-life examples

Microgrids: Modeling, Control, and Applications presents a systematic elaboration of different types of microgrids, with a particular focus on new trends and applications. The book includes sections on AC, DC and hybrid AC/DC microgrids and reflects state-of-the-art developments, covering theory, algorithms, simulations, error and uncertainty analysis, as well as novel applications of new control techniques. Offering a valuable resource for students and researchers working on the integration of renewable energy with existing grid and control of microgrids, this book combines recent advances and ongoing research into a single informative resource.The book highlights recent findings while also analyzing modelling and control, thus making it a solid reference for researchers as well as undergraduate and postgraduate students.- Covers different types of microgrids and their architecture and control in a single book- Includes original, state-of-the-art research contributions by international experts- Features global case studies for better understanding and real-life examples

Intelligent Learning Approaches for Renewable and Sustainable Energy provides a practical, systematic overview of the application of advanced intelligent control techniques, adaptive techniques, machine learning algorithms, and predictive control in renewable and sustainable energy. Sections introduce intelligent learning approaches and the roles of artificial intelligence and machine learning in terms of energy and sustainability, grid transformation, large-scale integration of renewable energy, and variability and flexibility of renewable sources. Other sections provide detailed coverage of intelligent learning techniques as applied to key areas of renewable and sustainable energy, including forecasting, supply and demand, integration, energy management, optimization, and more.This is a useful resource for researchers, scientists, advanced students, energy engineers, R&D professionals, and other industrial personnel with an interest in sustainable energy and integration of renewable energy sources, energy systems, energy engineering, machine learning, and artificial intelligence.Explores cutting-edge intelligent techniques and their implications for future energy systems developmentOpens the door to a range of applications across forecasting, supply and demand, energy management, optimization, and moreIncludes a range of case studies that provide insights into the challenges and solutions in real-world applications

Intelligent Learning Approaches for Renewable and Sustainable Energy provides a practical, systematic overview of the application of advanced intelligent control techniques, adaptive techniques, machine learning algorithms, and predictive control in renewable and sustainable energy.The book begins by introducing the intelligent learning approaches, and the roles of artificial intelligence and machine learning in terms of energy and sustainability, grid transformation, large-scale integration of renewable energy, and variability and flexibility of renewable sources. The second section of the book provides detailed coverage of intelligent learning techniques as applied to key areas of renewable and sustainable energy, including forecasting, supply and demand, integration, energy management, and optimization, supported by case studies, figures, schematics, and references.This is a useful resource for researchers, scientists, advanced students, energy engineers, R&D professionals, and other industrial personnel with an interest in sustainable energy and integration of renewable energy sources, energy systems, energy engineering, machine learning, and artificial intelligence.- Explores cutting-edge intelligent techniques and their implications for future energy systems development- Opens the door to a range of applications across forecasting, supply and demand, energy management, optimization, and more- Includes a range of case studies that provide insights into the challenges and solutions in real-world applications

This volume provides a comprehensive exploration of how intelligent computational techniques are transforming sustainable energy systems. As the world shifts from centralized, fossil-based infrastructures to decentralized, renewable-based models, technologies such as AI, machine learning, IoT, and advanced analytics are becoming essential to optimizing performance, enhancing resilience, and securing long-term sustainability.The book covers:• Principles of sustainable development and the transition to renewable energy.• AI and ML applications for forecasting, optimization, and control in solar, wind, and hybrid systems.• Intelligent strategies for distributed power, smart grids, and demand response.• Circular economy imperatives in solar PV, from lifecycle analysis to closed-loop recycling.• Fault detection, predictive maintenance, and self-healing networks for resilient power systems.• AI-driven demand-side management, load forecasting, and flexibility optimization.• Methods to balance wind variability with hybrid storage and intelligent dispatch.By combining rigorous technical detail with practical applications, this book equips researchers, engineers, and policymakers with the tools to design and manage next-generation sustainable energy systems.

This volume provides a comprehensive exploration of how intelligent computational techniques are transforming sustainable energy systems. As the world shifts from centralized, fossil-based infrastructures to decentralized, renewable-based models, technologies such as AI, machine learning, IoT, and advanced analytics are becoming essential to optimizing performance, enhancing resilience, and securing long-term sustainability. The book covers: * Principles of sustainable development and the transition to renewable energy. * AI and ML applications for forecasting, optimization, and control in solar, wind, and hybrid systems. * Intelligent strategies for distributed power, smart grids, and demand response. * Circular economy imperatives in solar PV, from lifecycle analysis to closed-loop recycling. * Fault detection, predictive maintenance, and self-healing networks for resilient power systems. * AI-driven demand-side management, load forecasting, and flexibility optimization. * Methods to balance wind variability with hybrid storage and intelligent dispatch. By combining rigorous technical detail with practical applications, this book equips researchers, engineers, and policymakers with the tools to design and manage next-generation sustainable energy systems.