Risk Modeling Analysis And Control Of Multi Energy Systems
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Risk Modeling Analysis And Control Of Multi Energy Systems
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Author : Yonghua Song
language : en
Publisher: Springer Nature
Release Date : 2023-06-08
Risk Modeling Analysis And Control Of Multi Energy Systems written by Yonghua Song and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-08 with Technology & Engineering categories.
This book focuses on the risk modeling, analysis and control of multi-energy systems considering cross-sectorial failure propagation. Both models and methods have been addressed with engineering practice. This is accomplished by doing a thorough investigation into the modeling of system physics and reliabilities in both long- and short-term phases. Different models and methods to evaluate the risk of multi-energy systems considering various disturbances, e.g., component failures, load uncertainties and extreme weather, are studied in detail. Furthermore, several risk control strategies for multi-energy systems, such as long-term capacity planning and integrated demand response, are analyzed in this book, which is especially suited for readers interested in system risk management. The book can benefit researchers, engineers, and graduate students in the fields of electrical and electronic engineering, energy engineering, complex network and control engineering, etc.
Energy Systems Integration For Multi Energy Systems
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Author : Carlos Ocampo-Martinez
language : en
Publisher: Springer Nature
Release Date : 2025-05-24
Energy Systems Integration For Multi Energy Systems written by Carlos Ocampo-Martinez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-24 with Technology & Engineering categories.
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.
Machine Learning For Energy Systems
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Author : Denis Sidorov
language : en
Publisher: MDPI
Release Date : 2020-12-08
Machine Learning For Energy Systems written by Denis Sidorov and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-08 with Technology & Engineering categories.
This volume deals with recent advances in and applications of computational intelligence and advanced machine learning methods in power systems, heating and cooling systems, and gas transportation systems. The optimal coordinated dispatch of the multi-energy microgrids with renewable generation and storage control using advanced numerical methods is discussed. Forecasting models are designed for electrical insulator faults, the health of the battery, electrical insulator faults, wind speed and power, PV output power and transformer oil test parameters. The loads balance algorithm for an offshore wind farm is proposed. The information security problems in the energy internet are analyzed and attacked using information transmission contemporary models, based on blockchain technology. This book will be of interest, not only to electrical engineers, but also to applied mathematicians who are looking for novel challenging problems to focus on.
Interconnected Modern Multi Energy Networks And Intelligent Transportation Systems
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Author : Mohammadreza Daneshvar
language : en
Publisher: John Wiley & Sons
Release Date : 2024-02-28
Interconnected Modern Multi Energy Networks And Intelligent Transportation Systems written by Mohammadreza Daneshvar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-28 with Technology & Engineering categories.
Interconnected Modern Multi-Energy Networks and Intelligent Transportation Systems A timely introduction to the revolutionary technologies reshaping the global energy market The search for more efficient and sustainable ways to meet society’s energy requirements has driven recent technological innovation on an unprecedented scale. The energy needs of a growing population coupled with concerns about climate change have posed unique challenges that necessitate novel energy technologies. The transition of modern energy grids towards multi-energy networks, or MENs, promises to be a fundamental transformation in the way we energize our world. Interconnected Modern Multi-Energy Networks and Intelligent Transportation Systems presents an overview of the foundational methodologies and technologies underlying MENs and the groundbreaking vehicle systems that bring them together. With the inclusion of transformative technologies from radically different sectors, the content covered in this book will be of high value for researchers interested in future energy systems. Readers will also find: In-depth examination of the process of switching from conventional transportation systems to modern intelligent transportation ones Detailed discussions of topics including self-driving vehicles, hybrid energy technologies, grid-edge, and more The introduction of a holistic, reconfigurable system adaptable to vastly different conditions and forms of network interaction Interconnected Modern Multi-Energy Networks and Intelligent Transportation Systems is useful for researchers in electrical, mechanical, civil, architectural, or environmental engineering, as well as for telecommunications researchers and for any industry professionals with an interest in energy transportation.
Low Carbon Oriented Market Mechanism And Reliability Improvement Of Multi Energy Systems
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Author : Minglei Bao
language : en
Publisher: Frontiers Media SA
Release Date : 2024-12-17
Low Carbon Oriented Market Mechanism And Reliability Improvement Of Multi Energy Systems written by Minglei Bao and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-17 with Science categories.
The energy crisis has brought great challenges to the low-carbon and economic development of the energy system. To achieve net-zero emissions, energy systems can have an increasing penetration of renewable energy and a deep coupling of multiple energy sectors (i.e., electricity, gas, and heat). To deal with the increasing fluctuations of renewable energy in multi-energy systems, the market mechanism is an effective solution for the optimal allocation of resources. An optimal market design could stimulate different resources to actively assist the carbon reduction and reliability improvement of multi-energy systems. Therefore, research on low-carbon-oriented market design and optimal operation is expected to improve the reliability and sustainability of multi-energy systems. The objective of this Research Topic is to explore the latest advances in market design and reliability improvement technologies of multi-energy systems with a focus on low-carbon, reliability, and resilience. We have the following research goals: 1. Effective market mechanisms and interaction frameworks to support the operation of energy systems. 2. Advanced operation and control methods for flexible resources, such as traditional units, energy storage, electric vehicles, electric hydrogen production, etc. 3. Advanced planning strategies and portfolio management for flexible resources in multi-energy systems. 4. Advanced evaluation methods for flexibility, resilience, and carbon emissions of energy systems. 5. Effective applications of integrated demand response in energy systems with new technical and economic models. Original research and review articles in theoretical, methodological, or practical focuses, such as models, policies, algorithms, and applications, are all welcome. Research areas may include (but are not limited to) the following: • Low-carbon-oriented market mechanism • Interaction framework designs for flexible resources • Modeling and optimization technologies for multi-energy systems • Evaluation methods for the system resilience, flexibility, and carbon emissions • Operation, control, and planning methods of multi-energy systems • Applications of artificial intelligence technology in reliability improvement • Renewable energy prediction and integration
Iot Enabled Multi Energy Systems
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Author : Mohammadreza Daneshvar
language : en
Publisher: Elsevier
Release Date : 2023-02-20
Iot Enabled Multi Energy Systems written by Mohammadreza Daneshvar and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-20 with Technology & Engineering categories.
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
Proceedings Of The 3rd International Conference On Green Energy Environment And Sustainable Development Geesd2022
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Author : X. ZHANG; H. REN; Y. LU.
language : en
Publisher: IOS Press
Release Date : 2022-10-14
Proceedings Of The 3rd International Conference On Green Energy Environment And Sustainable Development Geesd2022 written by X. ZHANG; H. REN; Y. LU. and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-14 with Technology & Engineering categories.
With the general acknowledgement that climate change constitutes an existential threat to both mankind and to the planet, the quest for more sustainable and environmentally-friendly ways of developing and maintaining human civilizations has become ever more important in recent years. This book presents the proceedings of GEESD2022, the 3rd International Conference on Green Energy, Environment and Sustainable Development. Due to continuing travel restrictions as a result of the COVID-19 pandemic, the conference was held as a hybrid event, part face-to-face in Beijing, China, and partly online via Zoom, on 29 June 2022. The 141 papers included here were selected after a rigorous 6-month process of evaluation and peer-review from the more than 300 submissions received, and are grouped into 7 sections: energy system and smart control; sustainable and green energy; environmental modeling and simulation; environmental science and pollution research; ecology and rural environment; building and environment; and water and mineral resources. The book provides an overview of the most up-to-date findings and technologies current in green energy, environment and sustainable development today, and will be of interest to all those working in the field.
Distributed Energy Resources In Local Integrated Energy Systems
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Author : Giorgio Graditi
language : en
Publisher: Elsevier
Release Date : 2021-02-27
Distributed Energy Resources In Local Integrated Energy Systems written by Giorgio Graditi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-27 with Technology & Engineering categories.
Distributed Energy Resources in Local Integrated Energy Systems: Optimal Operation and Planning reviews research and policy developments surrounding the optimal operation and planning of DER in the context of local integrated energy systems in the presence of multiple energy carriers, vectors and multi-objective requirements. This assessment is carried out by analyzing impacts and benefits at local levels, and in distribution networks and larger systems. These frameworks represent valid tools to provide support in the decision-making process for DER operation and planning. Uncertainties of RES generation and loads in optimal DER scheduling are addressed, along with energy trading and blockchain technologies. Interactions among various energy carriers in local energy systems are investigated in scalable and flexible optimization models for adaptation to a number of real contexts thanks to the wide variety of generation, conversion and storage technologies considered, the exploitation of demand side flexibility, emerging technologies, and through the general mathematical formulations established. - Integrates multi-energy DER, including electrical and thermal distributed generation, demand response, electric vehicles, storage and RES in the context of local integrated energy systems - Fosters the integration of DER in the electricity markets through the concepts of DER aggregation - Addresses the challenges of emerging paradigms as energy communities and energy blockchain applications in the current and future energy landscape - Proposes operation optimization models and methods through multi-objective approaches for fostering short- and long-run sustainability of local energy systems - Assesses and models the uncertainties of renewable resources and intermittent loads in the short-term decision-making process for smart decentralized energy systems
Local Energy Markets
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Author : Meng Song
language : en
Publisher: Springer Nature
Release Date : 2025-01-31
Local Energy Markets written by Meng Song and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Technology & Engineering categories.
This book provides insight into the coordinated optimization of local energy market (LEM) with low-carbon digital operation of the distribution system from a demand-side perspective. There are four sections to characterize the ongoing development and future trends of LEM, including trading behaviors of prosumers, market design considering the impacts of uncertainties, LEM constrained by the distribution network, green LEM considering carbon emission and cutting-edge technologies. This book is expected to offer researchers, engineers, and graduate students in the fields of electrical engineering and energy economics with a unique understanding of LEM.
Optimisation Models And Methods In Energy Systems
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Author : Carlos Henggeler Antunes
language : en
Publisher: MDPI
Release Date : 2019-08-06
Optimisation Models And Methods In Energy Systems written by Carlos Henggeler Antunes and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-06 with Technology & Engineering categories.
This book is a printed edition of the Special Issue Optimisation Models and Methods in Energy Systems that was published in Energies