Smart Energy Systems – serie

This book presents a holistic approach to addressing the challenges and opportunities associated with the integration of Plug-in Electric Vehicles (PEVs) and Distributed Generators (DGs) into modern electricity markets and transportation networks. It covers a wide range of topics, from hierarchical planning and optimal sizing of PEV charging facilities to coordinated optimization of logistics scheduling and electricity dispatch. By providing practical insights and advanced methodologies, the book enables readers to develop comprehensive strategies for managing PEV charging demand, optimizing the operation of PEV charging stations, and participating effectively in electricity markets. Whether you are a researcher, policymaker, or industry professional working in the field of sustainable energy, this book will serve as an invaluable resource for understanding the complexities of PEV integration and developing innovative solutions to meet the growing demand for clean, efficient transportation.

This book constructs a complete knowledge framework of undersea wireless power transfer technology, following the main thread of “fundamental theories-key technologies-application scenarios-future challenges”. In the section on fundamental theories, authors delve into the characteristics of electromagnetic wave propagation in seawater media, magnetic coupling resonance mechanisms, electric field coupling mechanisms, and energy-information co-transmission models. The chapter on key technologies focuses on core issues such as high-frequency inverter design, adaptive impedance matching, multi-objective optimization algorithms, and pressure—and corrosion-resistant materials. The section on application scenarios combines practical cases from deep-sea exploration, underwater Internet of Things (IoT), and military equipment to analyze the engineering challenges faced in implementing these technologies. Additionally, this book features a special chapter on “Interdisciplinary Integration,” highlighting the importance of cross-domain innovation involving ocean engineering, power electronics, mechanical engineering, materials science, and artificial intelligence within this field.

This book investigates in environment-adaptive power control technology of shipboard energy storage systems (ESSs), assessing its potential use to enhance the adaptability of large-scale ESS in marine environments characterized by swaying, high temperatures, and high humidity, etc., which can promote sustainable and eco-friendly electrified ship system applications under multiple navigation conditions. Studies on shipboard ESS control have attracted engineers and scientists from various disciplines, such as electrical, mechanical, marine engineering, and power engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of integrated state-power control of shipboard ESSs under uncertain navigation conditions. The book is intended for undergraduate and graduate students who are interested in marine energy storage application technology, researchers investigating efficient energy control systems, and circuit/system design engineers working on large-scale powered shipboard mcirogrids or other energy conversion applications.

This book presents a comprehensive framework for reliability modeling, health assessment, and life-cycle cost analysis of integrated power systems operating under complex mission profiles. Drawing on methods from reliability engineering, systems engineering, and probabilistic modeling, it introduces a rich set of analytical tools—including grey relational analysis, evidence theory, Monte Carlo simulation, fault tree analysis, Wiener-process-based degradation modeling, GO methodology, and Bayesian fusion—to characterize equipment health states, mission reliability, and long-term maintenance costs. These methods are illustrated with detailed diagrams, simulation workflows, and practical case studies, offering readers both theoretical clarity and operational relevance.A distinctive feature of the book is its emphasis on linking mission scenarios with component-level degradation mechanisms, enabling realistic prediction of system availability and mission success rates. The integration of multi-source data, mission-driven reliability metrics, and life-cycle cost optimization provides readers with a unified and actionable decision-support framework.This book will be valuable for researchers and engineers in reliability and systems engineering, military and aerospace equipment analysts, advanced graduate students, and professionals involved in mission planning, equipment design, maintenance decision-making, or life-cycle management.

This book provides a comprehensive study of the modeling, analysis, and control of wind farms and solar power stations. It starts with dynamic vector modeling methods for wind farms and solar power stations, which enhance modeling efficiency and model accuracy. Building upon this modeling framework, it also covers stability analysis and control methods for wind farms and solar power stations from both steady-state and transient perspectives. Lastly, considering the integration of energy storage into renewable energy power stations, the book explores the analysis and control of wind-energy storage and solar-energy storage hybrid systems. It adopts a holistic approach, establishing a fundamental framework for the topic, progressing from modeling to analysis and then to control, facilitating readers' comprehension. The book is targeted towards undergraduate and graduate students interested in renewable energy power stations, researchers focusing on station-level modeling, analysis, and control of renewable energy, as well as engineers in the field.

This book provides a comprehensive study of the modeling, analysis, and control of wind farms and solar power stations. It starts with dynamic vector modeling methods for wind farms and solar power stations, which enhance modeling efficiency and model accuracy. Building upon this modeling framework, it also covers stability analysis and control methods for wind farms and solar power stations from both steady-state and transient perspectives. Lastly, considering the integration of energy storage into renewable energy power stations, the book explores the analysis and control of wind-energy storage and solar-energy storage hybrid systems. It adopts a holistic approach, establishing a fundamental framework for the topic, progressing from modeling to analysis and then to control, facilitating readers' comprehension. The book is targeted towards undergraduate and graduate students interested in renewable energy power stations, researchers focusing on station-level modeling, analysis, and control of renewable energy, as well as engineers in the field.

This book delves into modeling, multi-cluster interactive dispatch, and multi-energy coordination in distributed energy grid clusters, focusing on the integrated operation and scheduling of electricity, heating, and gas systems. It introduces innovative methods such as physical information fusion, multi-energy system modeling, and cloud-edge collaborative computing. Through numerous case studies and simulations, it validates strategies like hierarchical control, rolling optimization, and real-time adjustments. The book also explores market trading strategies using game theory and competitive pricing models. It concludes with an analysis of the technological trends and challenges facing distributed energy networks, serving as a reference for researchers, engineers, and graduate students in the energy internet field.

This book investigates in detail renewable power system optimization (RPSO) technology, exploring its potential us to accommodate intermittent, random, and fluctuating renewable energy from the aspects of power supply side, power grid side, demand side and energy storage. RPSO delves into the interdisciplinary field of sustainable energy systems, offering a comprehensive exploration of methodologies and strategies to maximize the efficiency, reliability, and resilience of renewable power systems. Studies on RPSO have attracted engineers and scientists from various disciplines, such as electrical, computer, transportation, control and management science. The book integrates theoretical frameworks, computational techniques, and practical case studies, which caters to a diverse readers including researchers, engineers, policymakers, and graduate students specializing in renewable energy, electrical engineering, environmental science, and related disciplines. It is particularly beneficial for those seeking to enhance the efficiency, reliability, and resilience of renewable power systems in the face of evolving energy transition challenges.