Optimization And Data Driven Approaches For Energy Storage Based Demand Response To Achieve Power System Flexibility
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Optimization And Data Driven Approaches For Energy Storage Based Demand Response To Achieve Power System Flexibility
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Author : Yue Xiang
language : en
Publisher: Frontiers Media SA
Release Date : 2025-07-31
Optimization And Data Driven Approaches For Energy Storage Based Demand Response To Achieve Power System Flexibility written by Yue Xiang 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 2025-07-31 with Technology & Engineering categories.
With the widespread adoption of distributed renewable energy and electric vehicles, the power grid faces new challenges in ensuring stable and sustainable development. Concurrently, insufficient local consumption resulting from distributed generation also impacts the power grid's safe operation. Energy storage and demand response play an important role in this context by promoting flexible grid operation and low-carbon transition. Electric vehicles, beyond serving as mobile energy storage resources, contribute to the grid by offering Vehicle-to-Grid (V2G) services through optimized charging and discharging scheduling. Additionally, on-board batteries in electric vehicles provide energy storage functions for both home and business users. In comparison to traditional loads, flexible loads can be efficiently managed through demand response to optimize consumption patterns to meet grid needs. Therefore, the collaborative dispatching of multi-modal energy storage integration technologies, such as batteries, pumped hydro storage, hydrogen storage, and distributed generators, alongside diverse demand-side flexible resources like flexible loads and electric vehicles, holds significant importance. The coordinated optimization of these distributed resources can effectively address the intermittency of variable renewable energies (VERs), encourage the adoption of flexible loads, and enhance the overall adaptability and carbon emission reduction efforts of the power system. The main objectives of this Research Topic are: 1. Applying advanced optimization and/or data-driven methods for single/joint scheduling of flexibility portfolio; 2. Coordinating flexible storage, generation, load and EV resources to strengthen system operation; 3. Leveraging coordinated demand flexibility to improve power quality and carbon performance; 4. Mitigating impacts of VERs fluctuations through aggregated single/multi-modal storage and demand response; 5. Developing and demonstrating innovative coordination/market mechanisms and applications. Topics to be covered include, but are not limited to: 1. Modeling and optimization of single/multi-modal storage-demand systems, such as distributed storage, electric vehicles and flexible load; 2. Technical and economic benefits assessments of coordinated flexibility solutions; 3. Planning and real-time operation of single/joint flexibility resource dispatch; 4. Coordination mechanisms and market design for single/joint flexibility resource; 5. Forecasting approaches for distributed storage, electric vehicles and flexible load; 6. Cybersecurity and resilience enhancement of single/multi-flexibility systems; 7. Applied research on field testing, pilot projects and business models; 8. Policy and regulatory frameworks for promoting flexibility resources development; 9. Future trends and emerging technologies on storage and demand-side integration.
Renewable Power System Optimization
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Author : Jiajia Chen
language : en
Publisher: Springer Nature
Release Date : 2025-07-03
Renewable Power System Optimization written by Jiajia Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Technology & Engineering categories.
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.
Power System Operation And Optimization Considering High Penetration Of Renewable Energy
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Author : Shengyuan Liu
language : en
Publisher: Frontiers Media SA
Release Date : 2024-09-19
Power System Operation And Optimization Considering High Penetration Of Renewable Energy written by Shengyuan Liu 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 2024-09-19 with Technology & Engineering categories.
The energy landscape is shifting toward renewable energy sources to mitigate climate change and reduce dependence on fossil fuels. The integration of renewable energy sources into the power grid presents various challenges, including uncertainty and variability of renewable energy sources, grid stability, and management of energy storage. Power system operation and optimization play a crucial role in managing the energy supply-demand balance, reducing operational costs, and improving the reliability of the power system. This call for papers aims to bring together the latest research and practical applications related to power system operation and optimization in the context of high penetration of renewable energy sources. We welcome contributions from researchers and practitioners from a broad range of disciplines to shed light on the challenges and opportunities associated with renewable energy integration in power systems. The objective of this Research Topic is to explore the latest advances in power system operation and optimization with a focus on the high penetration of renewable energy sources. We invite potential authors to submit articles for publication on the Research Topic of Frontiers in Energy Research on Power System Operation and Optimization Considering the High Penetration of Renewable Energy.
Flexible Load Control For Enhancing Renewable Power System Operation
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Author : Yuanzheng Li
language : en
Publisher: Springer Nature
Release Date : 2024-03-06
Flexible Load Control For Enhancing Renewable Power System Operation written by Yuanzheng Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-06 with Technology & Engineering categories.
This book addresses the pressing challenges faced by renewable power system operation (RPSO) due to the increasing penetration of renewable energy and flexible load. These challenges can be divided into two categories. Firstly, the inherent uncertainties associated with renewable energy sources pose significant difficulties in RPSO. Secondly, the presence of various types of flexible load, along with their complex constraint relationships, adds to the operational complexities. Recognizing the growing emphasis on the economic and low-carbon aspects of RPSO, this book focuses on the key issues of flexible load control. It mainly consists of following categories: (1) The control of data centers, a booming flexible load, to enhance RPSO through renewable energy integration and advanced robust multi-objective optimization. (2) The introduction of flexible industrial load control, employing effective demand-supply cooperative responding strategies for RPSO. (3) The exploration of electricvehicle flexible charging load control and centralized electric vehicle charging system control in the context of RPSO. The book also covers the emerging field of flexible integrated load control for renewable energy-based comprehensive energy system operation. Aimed at researchers, engineers, and graduate students in electrical engineering and computer science, this book provides a valuable resource for understanding and implementing flexible load control in the context of RPSO.
Flexible Resources For Smart Cities
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Author : Miadreza Shafie-khah
language : en
Publisher: Springer Nature
Release Date : 2021-11-10
Flexible Resources For Smart Cities written by Miadreza Shafie-khah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-10 with Technology & Engineering categories.
This book paves the road for researchers from various areas of engineering working in the realm of smart cities to discuss the intersections in these areas when it comes to infrastructure and its flexibility. The authors lay out models, algorithms and frameworks related to the ‘smartness’ in the future smart cities. In particular, manufacturing firms, electric generation, transmission and distribution utilities, hardware and software computer companies, automation and control manufacturing firms, and other industries will be able to use this book to enhance their energy operations, improve their comfort and privacy, as well as to increase the benefit from the electrical system. The book pertains to researchers, professionals, and R&D in an array of industries.
Smart Energy Management
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Author : Kaile Zhou
language : en
Publisher: Springer Nature
Release Date : 2022-02-04
Smart Energy Management written by Kaile Zhou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-04 with Business & Economics categories.
This book provides a relatively whole view of data-driven decision-making methods for energy service innovation and energy system optimization. Through personalized energy services provision and energy efficiency improvement, the book can contribute to the green transformation of energy system and the sustainable development of the society. The book gives a new way to achieve smart energy management, based on various data mining and machine learning methods, including fuzzy clustering, shape-based clustering, ensemble clustering, deep learning, and reinforcement learning. The applications of these data-driven methods in improving energy efficiency and supporting energy service innovation are presented. Moreover, this book also investigates the role of blockchain in supporting peer-to-peer (P2P) electricity trading innovation, thus supporting smart energy management. The general scope of this book mainly includes load clustering, load forecasting, price-based demand response, incentive-based demand response, and energy blockchain-based electricity trading. The intended readership of the book includes researchers and engineers in related areas, graduate and undergraduate students in university, and some other general interested audience. The important features of the book are: (1) it introduces various data-driven methods for achieving different smart energy management tasks; (2) it investigates the role of data-driven methods in supporting various energy service innovation; and (3) it explores energy blockchain in P2P electricity trading, and thus supporting smart energy management.
Increasing Penetration Of Renewable Sources In Power Systems Opportunities And Challenges
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Author : Xue Lyu
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-27
Increasing Penetration Of Renewable Sources In Power Systems Opportunities And Challenges written by Xue Lyu 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 2023-04-27 with Technology & Engineering categories.
Hosting Capacity Aspects In Distribution Networks Towards Sustainable Energy Systems
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Author : Hossam H. H. Mousa
language : en
Publisher: Elsevier
Release Date : 2025-04-29
Hosting Capacity Aspects In Distribution Networks Towards Sustainable Energy Systems written by Hossam H. H. Mousa and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Technology & Engineering categories.
Hosting Capacity Aspects in Distribution Networks Towards Sustainable Energy Systems is a comprehensive guidebook that delves into the critical aspects of power systems. It emphasizes the essential developments necessary to support the transition towards sustainable energy sources. The book begins by laying down the fundamental principles of hosting capacity in energy systems, highlighting modern challenges in the shift to renewable and distributed energy sources. It underscores the pivotal role hosting capacity plays in the planning and operation of successful systems, offering readers a solid foundation on which to build their understanding.Subsequent chapters are dedicated to providing detailed explanations on various practical hosting capacity calculation methods and enhancement techniques. The book also introduces available tools and software solutions to address hosting capacity issues. By compiling the latest insights and advancements in this crucial yet under-explored area, this book serves as an invaluable resource for students, researchers, and engineers. It aids in planning hosting capacity aspects for the successful integration of renewable and sustainable energy systems. - Outlines the fundamental concepts of hosting capacity and its relation to sustainable energy systems - Provides a range of accurate, flexible options of tools, software, calculations, and enhancement techniques - Supports readers in mastering the latest theoretical and practical developments
Artificial Intelligence For Energy Systems
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Author : Elissaios Sarmas
language : en
Publisher: Springer Nature
Release Date : 2025-03-21
Artificial Intelligence For Energy Systems written by Elissaios Sarmas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-21 with Computers categories.
This book focuses on creating an integrated library of learning models and optimization techniques to assist decision-making on issues in the energy and building sector. It provides modern solutions to energy management and efficiency while addressing a scientific gap in the development of advanced algorithmic methods to solve these problems. More specifically, the focus is on the development of models and algorithms for problems falling into three broader categories, namely: (a) Distributed Energy Generation, (b) Microgrid Flexibility, and (c) Building Energy Efficiency. Artificial Intelligence models and mathematical optimization techniques are developed and presented for applications related to each of these categories, through a thorough analysis of the fundamental parameters of each application as well as the interactions among them. Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.
Artificial Intelligence Enabled Computational Methods For Smart Grid Forecast And Dispatch
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Author : Yuanzheng Li
language : en
Publisher: Springer Nature
Release Date : 2023-05-05
Artificial Intelligence Enabled Computational Methods For Smart Grid Forecast And Dispatch written by Yuanzheng Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-05 with Technology & Engineering categories.
With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided into two categories. On the one hand, the endogenous uncertainties of renewable energy and electricity load lead to great difficulties in smart grid forecast. On the other hand, massive electric devices as well as their complex constraint relationships bring about significant difficulties in smart grid dispatch. Owe to the rapid development of artificial intelligence in recent years, several artificial intelligence enabled computational methods have been successfully applied in the smart grid and achieved good performances. Therefore, this book is concerned with the research on the key issues of artificial intelligence enabled computational methods for smart grid forecast and dispatch, which consist of three main parts. (1) Introduction for smart grid forecast and dispatch, in inclusion of reviewing previous contribution of various research methods as well as their drawbacks to analyze characteristics of smart grid forecast and dispatch. (2) Artificial intelligence enabled computational methods for smart grid forecast problems, which are devoted to present the recent approaches of deep learning and machine learning as well as their successful applications in smart grid forecast. (3) Artificial intelligence enabled computational methods for smart grid dispatch problems, consisting of edge-cutting intelligent decision-making approaches, which help determine the optimal solution of smart grid dispatch. The book is useful for university researchers, engineers, and graduate students in electrical engineering and computer science who wish to learn the core principles, methods, algorithms, and applications of artificial intelligence enabled computational methods.