Nicanor Quijano – författare

This book offers a comprehensive approach to energy systems integration (ESI) that optimizes the design and operation of energy systems, maximizing the benefits of all components while minimizing potential negative impacts. By coordinating the production, distribution, and utilization of energy from diverse sources, ESI ensures the most efficient and cost-effective fulfillment of end-users' needs.The true value of ESI lies in its ability to harmonize interconnected systems, enabling the production and supply of energy in its various forms to achieve reliability, environmental sustainability, and economic viability at appropriate scales. Through the analysis and design of integrated energy systems, often referred to as multi-energy systems (MES), decision-makers and industry professionals gain valuable insights into the optimal strategies required to fulfill these objectives while considering contextual conditions and operational constraints.The book explores the design, modeling, supervising, and controlling of energy systems but also examines how these approaches can be seamlessly integrated into future MES through innovative and ESI processes.Through its comprehensive analysis and forward-thinking approach, this book serves as a vital resource for researchers, practitioners, and policymakers seeking to navigate the complexities of energy systems integration and leverage the potential of renewable energy for a sustainable future.

This book offers a comprehensive approach to energy systems integration (ESI) that optimizes the design and operation of energy systems, maximizing the benefits of all components while minimizing potential negative impacts. By coordinating the production, distribution, and utilization of energy from diverse sources, ESI ensures the most efficient and cost-effective fulfillment of end-users' needs.The true value of ESI lies in its ability to harmonize interconnected systems, enabling the production and supply of energy in its various forms to achieve reliability, environmental sustainability, and economic viability at appropriate scales. Through the analysis and design of integrated energy systems, often referred to as multi-energy systems (MES), decision-makers and industry professionals gain valuable insights into the optimal strategies required to fulfill these objectives while considering contextual conditions and operational constraints.The book explores the design, modeling, supervising, and controlling of energy systems but also examines how these approaches can be seamlessly integrated into future MES through innovative and ESI processes.Through its comprehensive analysis and forward-thinking approach, this book serves as a vital resource for researchers, practitioners, and policymakers seeking to navigate the complexities of energy systems integration and leverage the potential of renewable energy for a sustainable future.

This book is a comprehensive, self-contained guide to generalized Nash equilibrium (GNE) seeking methods for population games focused on optimizing the control of large-scale complex systems (LSCSs). It equips readers with the tools needed to model and solve non-cooperative multi-agent interactions using GNE methods. This provides a novel framework for tackling real-world problems like congestion management, energy systems, and dynamic resource allocation. The approaches in this book will benefit both researchers and practitioners because, by framing optimization-based control tasks as GNE problems and relying on the population games framework, they enable more robust, scalable solutions to challenges involving LSCSs.The book is structured to guide readers from foundational concepts such as variational inequalities and dissipativity theory, to advanced topics like the design of evolutionary and payoff dynamics models for distributed systems. The clear progression from theory to application is enhanced by numerous hands-on examples and fully documented Python code allowing readers to replicate and customize the book’s simulations for deeper understanding. Features of the text include:detailed illustrations of theoretical concepts,solutions to practical problems anda unique focus on integrating game theory with optimization-based control.This blend of rigorous theory and practical application makes this book a valuable resource for both students and professionals in the field of control systems and multi-agent decision-making.