Kazem Zare – författare

Operation of Distributed Energy Resources in Smart Distribution Networks defines the barriers and challenges of smart distribution networks, ultimately proposing optimal solutions for addressing them. The book considers their use as an important part of future electrical power systems and their ability to improve the local flexibility and reliability of electrical systems. It carefully defines the concept as a radial network with a cluster of distributed energy generations, various types of loads, and energy storage systems. In addition, the book details how the huge penetration of distributed energy resources and the intermittent nature of renewable generations may cause system problems.

Readers will find this to be an important resource that analyzes and introduces the features and problems of smart distribution networks from different aspects.

Integrates different types of elements, including electrical vehicles, demand response programs, and various renewable energy sources in distribution networks Proposes optimal operational models for the short-term performance and scheduling of a distribution network Discusses the uncertainties of renewable resources and intermittent load in the decision-making process for distribution networks

Emerging Transactive Energy Technology for the Future Modern Energy Networks looks at the importance of transactive energy technology in modern multi-carrier energy networks, exploring modeling and optimization and analyzing the necessity of transactive energy technology for future modern energy networks. Along with energy technology, the book covers applications of transactive energy technology, strategies in optimal operation of the hybrid energy networks, reliable and sustainable development of the modern energy networks, and design, integration and operation of a full level of renewable energy resources.

This reference is intended for energy, power, mechanical and environmental engineers, researchers and postgraduate students who work in various types of energy systems.

Discusses the application of transactive energy technology in modernizing future energy networks Investigates the optimal integration of 100% renewable energy resources in modern hybrid energy networks Provides a holistic, transactive energy-based framework for creating interoperability between multi-carrier energy networks

IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems.

Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more.

Reviews core applications of IoT technologies in grid modernization of multi-energy networks Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks Analyzes the reliable integration, sustainable operation and accurate planning of multi-carrier energy grids in highly penetrated stochastic energy resources

Physics-Aware Machine Learning for Integrated Energy Systems Management, a new release in the Advances in Intelligent Energy Systems series, guides the reader through this state-of-the-art approach to computational methods, from data input and training to application opportunities in integrated energy systems. The book begins by establishing the principles, design, and needs of integrated energy systems in the modern sustainable grid before moving into assessing aspects such as sustainability, energy storage, and physical-economic models. Detailed, step-by-step procedures for utilizing a variety of physics-aware machine learning models are provided, including reinforcement learning, feature learning, and neural networks.Supporting students, researchers, and industry engineers to make renewable-integrated grids a reality, this book is a holistic introduction to an exciting new approach in energy systems management.Outlines the challenges, opportunities, and applications for utilizing physics-aware machine learning to support renewable energy integration to the modern gridCovers a wide variety of techniques, from fundamental principles to security concernsRepresents the latest offering in the cutting-edge series, Advances in Intelligent Energy Systems, which introduces these essential multidisciplinary skills to modern energy engineers

Coordinated Operation and Planning of Modern Heat and Electricity Incorporated Networks A practical resource presenting the fundamental technologies and solutions for real-world problems in modern heat and electricity incorporated networks (MHEINs) Coordinated Operation and Planning of Modern Heat and Electricity Incorporated Networks covers the foundations of multi-carrier energy networks (MCENs), highlights potential technologies and multi-energy systems in this area, and discusses requirements for coordinated operation and planning of heat and electricity hybrid networks. The book not only covers the coordinated operation of heat and electricity networks (HENs) but also supports the planning of HENs to provide more clarity regarding HENs’ presence in the future modern MCENs. The first part of Coordinated Operation and Planning of Modern Heat and Electricity Incorporated Networks provides a conceptual introduction with more emphasis on definition, structure, features, and challenges of the one and multidimensional energy networks as well as optimal operation and planning of the MHEINs. The second part of the book covers potential technologies and systems for energy production, communication, transmission and distribution, hybrid energy generation, and more. The third and fourth parts of the book investigate the optimal coordinated operation and planning of the MHEINs. Topics covered in the book also include: Considerations of hybrid energy storage systems, business models, hybrid transitional energy markets, and decision-making plansRequirements for switching from the traditional independent energy networks to modern interdependent energy gridsThe key role of multi-carrier energy systems in the optimal integration of modern heat and electricity incorporated networksTechnical and theoretical analysis of the coordinated operation and planning of the modern heat and electricity incorporated networks, especially in terms of hybrid energy storage systemsCoordinated Operation and Planning of Modern Heat and Electricity Incorporated Networks is an invaluable resource and authoritative reference for the researchers and the system engineers focusing on advanced methods for deployment of state of art technologies in the modern structure of the multi-carrier energy networks.

This book analyzes the economic and technical effects of demand response programs in smart grids. A variety of operational and financial benefits are offered by demand response programs (DRPs) for load-serving entities, grid operators, and electricity consumers. The most notable advantages of DRPs are presented in this book, including decreased electricity prices, risk management, market power mitigation, and flexibility of market operations. In-depth chapters discuss the integration of demand response programs for the planning and operation of smart grids and explore the uncertainties of market prices, renewable resources and intermittent load management, making this a useful reference for a variety of different organizations and players in the electricity market, such as reliability organizations, distribution companies, transmission companies, and electric end-users.

This book analyzes the economic and technical effects of demand response programs in smart grids. A variety of operational and financial benefits are offered by demand response programs (DRPs) for load-serving entities, grid operators, and electricity consumers. The most notable advantages of DRPs are presented in this book, including decreased electricity prices, risk management, market power mitigation, and flexibility of market operations. In-depth chapters discuss the integration of demand response programs for the planning and operation of smart grids and explore the uncertainties of market prices, renewable resources and intermittent load management, making this a useful reference for a variety of different organizations and players in the electricity market, such as reliability organizations, distribution companies, transmission companies, and electric end-users.

This book analyzes issues surrounding the efficient integration of demand response programs (DRPs) on operation problems in smart grids. The benefits offered by demand response programs (DRPs) for load-serving entities, grid operators, and electricity consumers are explained, including decreased electricity prices and risk management. In-depth chapters discuss the flexibility of market operations, market power mitigation, and environmental benefits—making this a must-have reference for engineers and related practicing professionals working for organizations in the electricity market, including reliability organizations, distribution companies, transmission companies, and electric end-users.

This book analyzes issues surrounding the efficient integration of demand response programs (DRPs) on operation problems in smart grids. The benefits offered by demand response programs (DRPs) for load-serving entities, grid operators, and electricity consumers are explained, including decreased electricity prices and risk management. In-depth chapters discuss the flexibility of market operations, market power mitigation, and environmental benefits—making this a must-have reference for engineers and related practicing professionals working for organizations in the electricity market, including reliability organizations, distribution companies, transmission companies, and electric end-users.

This book analyzes new electricity pricing models that consider uncertainties in the power market due to the changing behavior of market players and the implementation of renewable distributed generation and responsive loads.