Bhuvnesh Khokhar – författare

Economic Dispatch and Generation Scheduling in Operation of Modern Power Systems: Optimization Techniques and Real-World Applications is a comprehensive resource, bridging the gap between traditional power generation methodologies and advanced optimization techniques. Chapters review foundational principles of economic dispatch and generation scheduling, then demonstrate mathematical models, optimization techniques, and the impact of renewable energy integration. The role of cutting-edge methods such as Artificial Intelligence and machine learning in dispatch, energy storage systems and electric vehicles, and advancements in smart grid technologies are also examined.The book examines the rapid evolution of power systems, emphasizing the need for innovative approaches to address the complexities of energy supply and demand.Case studies and real-world applications are included to provide readers with insights into practical implementations and contemporary challenges in the field. This is a valuable resource for professionals, students, and researchers in energy, enhancing understanding of how to optimize energy, reduce operational costs, and improve reliability in an evolving landscape.Presents solutions for optimizing the dispatch of distributed energy resources (DERs) using machine learning, artificial intelligence, and real-time control systemsExplains complicated mathematical models and optimization approaches and algorithms for enhanced forecasting, scheduling, and dispatch that account for variations in renewable energy supplyDemonstrates the use of optimization techniques through case studies, simulations, and practical applications

Economic Dispatch and Generation Scheduling in Operation of Modern Power Systems: Optimization Techniques and Real-World Applications is a comprehensive resource, bridging the gap between traditional power generation methodologies and advanced optimization techniques. Chapters review foundational principles of economic dispatch and generation scheduling, then demonstrate mathematical models, optimization techniques, and the impact of renewable energy integration. The role of cutting-edge methods such as Artificial Intelligence and machine learning in dispatch, energy storage systems and electric vehicles, and advancements in smart grid technologies are also examined.The book examines the rapid evolution of power systems, emphasizing the need for innovative approaches to address the complexities of energy supply and demand.Case studies and real-world applications are included to provide readers with insights into practical implementations and contemporary challenges in the field. This is a valuable resource for professionals, students, and researchers in energy, enhancing understanding of how to optimize energy, reduce operational costs, and improve reliability in an evolving landscape. - Presents solutions for optimizing the dispatch of distributed energy resources (DERs) using machine learning, artificial intelligence, and real-time control systems- Explains complicated mathematical models and optimization approaches and algorithms for enhanced forecasting, scheduling, and dispatch that account for variations in renewable energy supply- Demonstrates the use of optimization techniques through case studies, simulations, and practical applications

The book focuses on describing the emerging microgrid concept, and its various constituents, especially the EV technology, and investigates the load frequency control performance of different microgrid configurations by implementing the modern control theory. An exhaustive study is presented on the various renewable energy sources and an up-to-date status of their installed capacity and power generation. The text presents case studies for load frequency control of a microgrid in its various operating modes.This book:Discusses power system stability, significance of load frequency control in power system, modeling of a microgrid, and frequency deviation response.Covers various energy storage technologies such as superconducting magnetic energy storage, electrochemical energy storage, and compressed air energy storage. Presents modes of interaction of the electric vehicles with the utility grid and implementation of the electric vehicles for load frequency control. Illustrates control approaches for load frequency control and metaheuristic optimization algorithms. Showcases the study of load frequency control for standalone microgrid systems, grid-connected microgrid systems, and multi-microgrid systems. It is primarily written for senior undergraduates, and graduate students in the fields of electrical engineering, electronics, communication engineering, and renewable energy.

The book focuses on describing the emerging microgrid concept, and its various constituents, especially the EV technology, and investigates the load frequency control performance of different microgrid configurations by implementing the modern control theory. An exhaustive study is presented on the various renewable energy sources and an up-to-date status of their installed capacity and power generation. The text presents case studies for load frequency control of a microgrid in its various operating modes.This book:Discusses power system stability, significance of load frequency control in power system, modeling of a microgrid, and frequency deviation response.Covers various energy storage technologies such as superconducting magnetic energy storage, electrochemical energy storage, and compressed air energy storage. Presents modes of interaction of the electric vehicles with the utility grid and implementation of the electric vehicles for load frequency control. Illustrates control approaches for load frequency control and metaheuristic optimization algorithms. Showcases the study of load frequency control for standalone microgrid systems, grid-connected microgrid systems, and multi-microgrid systems. It is primarily written for senior undergraduates, and graduate students in the fields of electrical engineering, electronics, communication engineering, and renewable energy.

The book focuses on describing the emerging microgrid concept, and its various constituents, especially the EV technology, and investigates the load frequency control performance of different microgrid configurations by implementing the modern control theory. An exhaustive study is presented on the various renewable energy sources and an up-to-date status of their installed capacity and power generation. The text presents case studies for load frequency control of a microgrid in its various operating modes.

This book:

Discusses power system stability, significance of load frequency control in power system, modeling of a microgrid, and frequency deviation response. Covers various energy storage technologies such as superconducting magnetic energy storage, electrochemical energy storage, and compressed air energy storage. Presents modes of interaction of the electric vehicles with the utility grid and implementation of the electric vehicles for load frequency control. Illustrates control approaches for load frequency control and metaheuristic optimization algorithms. Showcases the study of load frequency control for standalone microgrid systems, grid-connected microgrid systems, and multi-microgrid systems.

It is primarily written for senior undergraduates, and graduate students in the fields of electrical engineering, electronics, communication engineering, and renewable energy.