Guidong Zhang – författare

This book provides readers with a unified, forward-looking framework for understanding, designing, and optimizing monograph multi-energy systems that link electricity, heat, gas, and hydrogen. Rather than offering a descriptive overview of existing technologies, this book emphasizes theoretical rigor and methodological innovation, providing engineers, researchers, and system planners with the analytical tools and design principles necessary to develop intelligent, adaptive, and resilient microgrid architectures under complex and uncertain environments.Structured into four cohesive parts—Preliminaries, Architecture, Control, and Applications—the book integrates foundational theory with engineering practice. It elaborates on hierarchical and distributed control structures, introduces adaptive dynamic programming (ADP) and learning-based optimization frameworks, and elucidates the role of digital intelligence in enhancing real-time decision-making and operational robustness. Comprehensive case studies drawn from industrial parks, islanded systems, and transportation energy networks demonstrate practical approaches toward achieving low-carbon, efficient, and resilient energy integration.This book serves as both a scholarly reference and a methodological guide for advancing intelligent control, coordination, and optimization in next-generation sustainable energy infrastructures.

This book provides readers with a unified, forward-looking framework for understanding, designing, and optimizing monograph multi-energy systems that link electricity, heat, gas, and hydrogen. Rather than offering a descriptive overview of existing technologies, this book emphasizes theoretical rigor and methodological innovation, providing engineers, researchers, and system planners with the analytical tools and design principles necessary to develop intelligent, adaptive, and resilient microgrid architectures under complex and uncertain environments.Structured into four cohesive parts—Preliminaries, Architecture, Control, and Applications—the book integrates foundational theory with engineering practice. It elaborates on hierarchical and distributed control structures, introduces adaptive dynamic programming (ADP) and learning-based optimization frameworks, and elucidates the role of digital intelligence in enhancing real-time decision-making and operational robustness. Comprehensive case studies drawn from industrial parks, islanded systems, and transportation energy networks demonstrate practical approaches toward achieving low-carbon, efficient, and resilient energy integration.This book serves as both a scholarly reference and a methodological guide for advancing intelligent control, coordination, and optimization in next-generation sustainable energy infrastructures.

Research and application of impedance network converters are very popular in recent years, but it still lacks of understanding of and guidelines of impedance networks application, therefore, there is quiet a large potential market about impedance networks converters. This book can serve as a teaching material for graduates and guidelines for engineers as designing an impedance source converter.The main purpose of this book is to understand impedance networks of nonlinear switch circuits and impedance networks matching, which will further put forward understanding of all power converters in view of impedance networks. Taking the impedance network matchings into account leads to a set of criteria for designing an impedance source converter, which is to replace the traditional tedious, manual and experience-dependent design methods.

Research and application of impedance network converters are very popular in recent years, but it still lacks of understanding of and guidelines of impedance networks application, therefore, there is quiet a large potential market about impedance networks converters. This book can serve as a teaching material for graduates and guidelines for engineers as designing an impedance source converter.The main purpose of this book is to understand impedance networks of nonlinear switch circuits and impedance networks matching, which will further put forward understanding of all power converters in view of impedance networks. Taking the impedance network matchings into account leads to a set of criteria for designing an impedance source converter, which is to replace the traditional tedious, manual and experience-dependent design methods.