Sasan Azad – författare

Future Modern Distribution Networks Resilience: From Passive Operation to Strategic Active Paradigms examines the combined impact of low-probability and high-impact events on modern distribution systems' resilience. Using practical guidance, the book provides comprehensive approaches for improving energy systems' resilience by utilizing infrastructure and operational strategies. Divided into three parts, Part One provides a conceptual introduction and review of power system resilience, including topics such as risk and vulnerability assessment in power systems, resilience metrics, and power systems operation and planning. Part Two discusses modelling of vulnerability and resilience evaluation indices and cost-benefit analysis.Part Three reviews infrastructure and operational strategies to improve power system resilience, including robust grid hardening strategies, mobile energy storage and electric vehicles, and networked microgrids and renewable energy resources. With a strong focus on economic results and cost-effectives, this book is a practical reference for students, researchers, and engineers interested in power engineering, energy systems, and renewable energy.

Reviews related concepts to active distribution systems resilience before, during, and after a sudden disasterPresents analysis of risk and vulnerability for reliable evaluation, sustainable operation, and accurate planning of energy grids against low-probability and high-impact eventsHighlights applications of practical metrics for resilience assessment of future energy networksProvides guidance for the development of cost-effective resilient techniques for reducing the vulnerability of electrical grids to severe disasters

Future Modern Distribution Networks Resilience examines the combined impact of low-probability and high-impact events on modern distribution systems'' resilience. Using practical guidance, the book provides comprehensive approaches for improving energy systems'' resilience by utilizing infrastructure and operational strategies.Divided in three parts, Part One provides a conceptual introduction and review of power system resilience, including topics such as risk and vulnerability assessment in power systems, resilience metrics, and power systems operation and planning. Part Two discusses modelling of vulnerability and resilience evaluation indices and cost-benefit analysis. Part Three reviews infrastructure and operational strategies to improve power system resilience, including robust grid hardening strategies, mobile energy storage and electric vehicles, and networked microgrids and renewable energy resources.With a strong focus on economic results and cost-effectives, Future Modern Distribution Networks Resilience is a practical reference for students, researchers and engineers interested in power engineering, energy systems, and renewable energy.- Reviews related concepts to active distribution systems resilience before, during, and after a sudden disaster- Presents analysis of risk and vulnerability for reliable evaluation, sustainable operation, and accurate planning of energy grids against low-probability and high-impact events- Highlights applications of practical metrics for resilience assessment of future energy networks- Provides guidance for the development of cost-effective resilient techniques for reducing the vulnerability of electrical grids to severe disasters

Renewable-to-Vehicle Smart Charging: Planning, Modeling, and Load Forecasting for Grid Integration offering a multidisciplinary approach to integrating electric vehicle charging needs into renewable-powered grids.This book begins with an overview of fundamental technical challenges, tariff mechanisms, and successful implementation examples for renewable-to-vehicle smart charging. Subsequent chapters detail cutting-edge machine learning and Internet-of-Things techniques for load-forecasting and charging resilience, before guiding readers through planning considerations including energy trading methods, fuel-cell vehicles, charging points size and location, and uncertainty modeling.Combining a step-by-step grounding in key challenges and opportunities with practical case studies in the latest ML and AI technologies, Renewable-to-Vehicle Smart Charging: Planning, Modeling, and Load Forecasting for Grid Integration will support students, researchers, and engineers in integrating electric vehicle charging to the renewable-based grids of the future.Builds from foundational concepts to specific, practical methodologiesLeverages cutting-edge technologies from machine learning and the Internet-of-Things to blockchainDemonstrates real-world applications through case studies and detailed calculations

Flexibility-Oriented Operation of Integrated Power and Gas Networks and Low-Carbon Technologies Under Clean Energy Transition examines the critical role that integrated gas and electricity networks play in achieving a sustainable, low-carbon energy future. Sections cover innovative low-carbon technologies, such as hydrogen and ammonia, while addressing synthesis, storage, and transportation hurdles. Its detailed content covers the flexibility of coupled gas and electricity networks, operational strategies for achieving net-zero carbon emissions, and intelligent methods for assessing network adaptability. Users will find a conceptual overview of decarbonization efforts for integrated energy systems and discussions on the feasibility of integrating artificial intelligence (AI) in these processes. Further, the book discusses the decoupling of emissions from economic growth, the role of negative emission technologies (NETs), and the application of innovative energy solutions such as gas carbon capture and storage (CCS) and hydrogen production. Case studies illustrate successful implementations of integrated networks worldwide, highlighting challenges and key lessons learned. It not only highlights the urgent need for flexibility in these interconnected systems, particularly through demand-side management and energy storage systems, but also addresses the pressing challenges posed by climate change and the transition away from fossil fuels.Explores the flexibility mechanisms necessary for the effective integration of gas and electricity networks, focusing on demand response and energy storage solutions that enhance system resilience and grid optimizationExamines operational and optimization strategies aimed at achieving net-zero carbon emissions within integrated gas and electricity networksInvestigates the feasibility and application of artificial intelligence in the decarbonization of integrated energy networksDiscusses the role of negative emission technologies (NETs) in contributing to low-carbon gas and electricity networksPresents real-world case studies of successful integrated gas and electricity networks, showcasing lessons learned and best practices

Flexibility-Oriented Operation of Integrated Power and Gas Networks and Low-Carbon Technologies Under Clean Energy Transition examines the critical role that integrated gas and electricity networks play in achieving a sustainable, low-carbon energy future. Sections cover innovative low-carbon technologies, such as hydrogen and ammonia, while addressing synthesis, storage, and transportation hurdles. Its detailed content covers the flexibility of coupled gas and electricity networks, operational strategies for achieving net-zero carbon emissions, and intelligent methods for assessing network adaptability. Users will find a conceptual overview of decarbonization efforts for integrated energy systems and discussions on the feasibility of integrating artificial intelligence (AI) in these processes. Further, the book discusses the decoupling of emissions from economic growth, the role of negative emission technologies (NETs), and the application of innovative energy solutions such as gas carbon capture and storage (CCS) and hydrogen production. Case studies illustrate successful implementations of integrated networks worldwide, highlighting challenges and key lessons learned. It not only highlights the urgent need for flexibility in these interconnected systems, particularly through demand-side management and energy storage systems, but also addresses the pressing challenges posed by climate change and the transition away from fossil fuels. - Explores the flexibility mechanisms necessary for the effective integration of gas and electricity networks, focusing on demand response and energy storage solutions that enhance system resilience and grid optimization- Examines operational and optimization strategies aimed at achieving net-zero carbon emissions within integrated gas and electricity networks- Investigates the feasibility and application of artificial intelligence in the decarbonization of integrated energy networks- Discusses the role of negative emission technologies (NETs) in contributing to low-carbon gas and electricity networks- Presents real-world case studies of successful integrated gas and electricity networks, showcasing lessons learned and best practices

This book covers the practical application of AI-based methods in modern power systems. The complexity of current power system operations has dramatically increased due to the higher penetration of renewable energy sources and power electronic components. Therefore, providing efficient techniques is essential for secure and clean power system operation. This book focuses on the data-driven operation of the digitalized power system using machine language (ML). First, the basics of power system operation and control are presented, covering various areas of system control and operation. Next, significant advances in modern power systems and their corresponding challenges are discussed, and artificial intelligence (AI)-powered techniques, specifically machine learning, are introduced to address these issues. The book also explores AI-powered applications in the operation of power systems. These applications include various aspects of the data-driven process in both situational awareness and control areas. They are presented as practical examples indicating the implementation of an ML-based method to solve operational problems. Artificial Intelligence in the Operation and Control of Digitalized Power Systems is a valuable guide for students, researchers, and practicing engineers to AI-based techniques and real-world applications in power systems.