Download or read book Intelligent Integrated Energy Systems written by Peter Palensky and published by Springer. This book was released on 2018-10-26 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents research results of PowerWeb, TU Delft’s consortium for interdisciplinary research on intelligent, integrated energy systems and their role in markets and institutions. In operation since 2012, it acts as a host and information platform for a growing number of projects, ranging from single PhD student projects up to large integrated and international research programs. The group acts in an inter-faculty fashion and brings together experts from electrical engineering, computer science, mathematics, mechanical engineering, technology and policy management, control engineering, civil engineering, architecture, aerospace engineering, and industrial design. The interdisciplinary projects of PowerWeb are typically associated with either of three problem domains: Grid Technology, Intelligence and Society. PowerWeb is not limited to electricity: it bridges heat, gas, and other types of energy with markets, industrial processes, transport, and the built environment, serving as a singular entry point for industry to the University’s knowledge. Via its Industry Advisory Board, a steady link to business owners, manufacturers, and energy system operators is provided.

Download or read book Smart Robust Operation and Trading of Integrated Energy Systems with Low Pollution Goals written by Kaiping Qu and published by Frontiers Media SA. This book was released on 2024-09-23 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: To mitigate two major environmental concerns of global warming and air pollution, renewable energies with uncertainty are increasingly deployed in power systems, which challenge the system's secure operation. A single system usually has limited adjusting ability. In contrast, integrated energy systems such as electricity-gas, electricity-traffic, electricity-heat, and transmission-distribution coordinated systems enhance the regulating ability of renewable energy accommodation and environmental protection. The operation of integrated energy systems will meet three essential requirements: low-pollution attribute, robustness, and cooperativity. However, the diversity of uncertainty conditions, the complementarity of new energy accommodation among systems, the conflict of interest between systems, and the dispatch autonomy of systems challenge the requirements mentioned above. The main goal of this Research Topic includes: 1. Propose more effective trading mechanisms or control strategies for carbon and air pollutant emissions. 2. Fully use complementary effects between electric power, natural gas, heat, hydrogen, and traffic systems. 3. Realize the coordinated operation of integrated energy systems with limited information interaction and ensured dispatch autonomy. 4. Improve the robustness of integrated energy systems under diversified uncertainty conditions. 5. Apply data-based reinforcement learning methods for the dynamic decision of smart integrated energy systems under complex environments.

Download or read book Applications of date driven artificial intelligence in integrated energy systems written by Qiuye Sun and published by Frontiers Media SA. This book was released on 2023-01-27 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Emerging Form of Smart Grid Smart Integrated Energy Systems and Prosumer Centred Energy Community written by Tao Huang and published by Frontiers Media SA. This book was released on 2022-07-07 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Intelligent Renewable Energy Systems written by Neeraj Priyadarshi and published by John Wiley & Sons. This book was released on 2022-01-19 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

Download or read book Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems written by Mohamed Abdelaziz Mohamed and published by Springer. This book was released on 2017-08-03 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive definition of smart grids and their benefits, and compares smart and traditional grids. It also introduces a design methodology for stand-alone hybrid renewable energy system with and without applying the smart grid concepts for comparison purposes. It discusses using renewable energy power plants to feed loads in remote areas as well as in central power plants connected to electric utilities. Smart grid concepts used in the design of the hybrid renewable power systems can reduce the size of components, which can be translated to a reduction in the cost of generated energy. The proposed hybrid renewable energy system includes wind, photovoltaic, battery, and diesel, and is used initially to feed certain loads, covering the load required completely. The book introduces a novel methodology taking the smart grid concept into account by dividing the loads into high and low priority parts. The high priority part should be supplied at any generated conditions. However, the low priority loads can be shifted to the time when the generated energy from renewable energy sources is greater than the high priority loads requirements. The results show that the use of this smart grid concept reduces the component size and the cost of generated energy compared to that without dividing the loads. The book also describes the use of smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) to optimally design the hybrid renewable energy system. This book provides an excellent background to renewable energy sources, optimal sizing and locating of hybrid renewable energy sources, the best optimization methodologies for sizing and designing the components of hybrid renewable energy systems, and offers insights into using smart grid concepts in the system’s design and sizing. It also helps readers understand the dispatch methodology and how to connect the system’s different components, their modeling, and the cost analysis of the system.

Download or read book Technologies for Integrated Energy Systems and Networks written by Giorgio Graditi and published by John Wiley & Sons. This book was released on 2022-04-04 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technologies for Integrated Energy Systems and Networks Explore emerging technologies that will play a central role in humanity’s transition to a low-carbon future In Technologies for Integrated Energy Systems and Networks, a team of distinguished authors delivers a detailed discussion of integrated energy systems and networks, including a comprehensive overview of emerging technologies. The book focuses on the technologies and systems that play a major role in integrated energy systems, like renewable and distributed energy resources, power conversion technologies, hydrogen, storage technologies, electric mobility, zero- and positive-energy buildings, and local energy communities. A one-of-a-kind and holistic treatment of integrated energy systems, this book explores power conversion, including power-to-gas, power-to-liquid, and power- to-heat technologies, as well as other issues of interest to a broad range of students, professionals, and academicians involved in energy transition. It also covers: A thorough introduction to the digitalization of the energy sector and local market development enabling citizen involvement Comprehensive explorations of integrated energy systems as an engine of energy transition Practical discussions of renewable and distributed energy resources for sustainable economic development In-depth examinations of the role of hydrogen in a low-carbon energy future and the storage technologies of different energy carriers Perfect for electrical, construction, power and energy engineers, Technologies for Integrated Energy Systems and Networks will also earn a place in the libraries of electrochemists and environmental consultants.

Download or read book Distributed Energy Resources in Local Integrated Energy Systems written by Giorgio Graditi and published by Elsevier. This book was released on 2021-02-27 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Planning and operation of integrated energy systems with deep integration of pervasive industrial internet of things written by Fengji Luo and published by Frontiers Media SA. This book was released on 2023-02-10 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Advances in Integrated Energy Systems Design Control and Optimization written by Josep M. Guerrero and published by MDPI. This book was released on 2018-03-23 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Advances in Integrated Energy Systems Design, Control and Optimization" that was published in Applied Sciences

Download or read book Intelligent Learning Approaches for Renewable and Sustainable Energy written by Josep M. Guerrero and published by Elsevier. This book was released on 2024-02-21 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Learning Approaches for Renewable and Sustainable Energy provides a practical, systematic overview of the application of advanced intelligent control techniques, adaptive techniques, machine learning algorithms, and predictive control in renewable and sustainable energy.The book begins by introducing the intelligent learning approaches, and the roles of artificial intelligence and machine learning in terms of energy and sustainability, grid transformation, large-scale integration of renewable energy, and variability and flexibility of renewable sources. The second section of the book provides detailed coverage of intelligent learning techniques as applied to key areas of renewable and sustainable energy, including forecasting, supply and demand, integration, energy management, and optimization, supported by case studies, figures, schematics, and references.This is a useful resource for researchers, scientists, advanced students, energy engineers, R&D professionals, and other industrial personnel with an interest in sustainable energy and integration of renewable energy sources, energy systems, energy engineering, machine learning, and artificial intelligence. - Explores cutting-edge intelligent techniques and their implications for future energy systems development - Opens the door to a range of applications across forecasting, supply and demand, energy management, optimization, and more - Includes a range of case studies that provide insights into the challenges and solutions in real-world applications

Download or read book Modeling Optimization and Intelligent Control Techniques in Renewable Energy Systems written by Moussa Labbadi and published by Springer Nature. This book was released on 2022-04-14 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewable energy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering.

Download or read book Advances in Integrated Energy Systems Design Control and Optimization written by and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation In the face of climate change and resource scarcity, energy supply systems are on the verge of a major transformation, which mainly includes the introduction of new components and their integration into the existing infrastructures, new network configurations and reliable topologies, optimal design and novel operation schemes, and new incentives and business models. This revolution is affecting the current paradigm and demanding that energy systems be integrated into multi-carrier energy hubs. It is highly increasing the interactions between today's energy systems at various scales and future intelligent energy systems, which are able to incorporate an increasing amount renewable energy sources. This transformation is also accommodating active participation of end-users as responsive prosumers at different scales which in turn helps to reduce energy costs and to mitigate carbon footprints. This book covers the mentioned promising and dynamic areas of research and development, and reports on contributions in design, control and optimization of integrated energy systems. The contents of the book which are gathered based on the accepted articles in the special issue on Advances in Integrated Energy systems Design, Control and Optimization also covers a variety of topics, ranging from operation and control of small-scale electrical networks to the complex energy systems design and planning.

Download or read book Evaluation and Selection of Integrated Energy System Construction Scheme Equipped with Smart Energy Management and Control Platform Using Single Valued Neutrosophic Numbers written by Junqing Wang and published by Infinite Study. This book was released on with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since application of integrated energy systems (IESs) has formed a markedly increasing trend recently, selecting an appropriate integrated energy system construction scheme becomes essential to the energy supplier. This paper aims to develop a multi-criteria decision-making model for the evaluation and selection of an IES construction scheme equipped with smart energy management and control platform.

Download or read book Optimal Operation of Integrated Energy Systems Under Uncertainties written by Bo Yang and published by Elsevier. This book was released on 2023-09-06 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal Operation of Integrated Energy Systems Under Uncertainties: Distributionally Robust and Stochastic Models discusses new solutions to the rapidly emerging concerns surrounding energy usage and environmental deterioration. Integrated energy systems (IESs) are acknowledged to be a promising approach to increasing the efficiency of energy utilization by exploiting complementary (alternative) energy sources and storages. IESs show favorable performance for improving the penetration of renewable energy sources (RESs) and accelerating low-carbon transition. However, as more renewables penetrate the energy system, their highly uncertain characteristics challenge the system, with significant impacts on safety and economic issues. To this end, this book provides systematic methods to address the aggravating uncertainties in IESs from two aspects: distributionally robust optimization and online operation. - Presents energy scheduling, considering power, gas, and carbon markets concurrently based on distributionally robust optimization methods - Helps readers design day-ahead scheduling schemes, considering both decision-dependent uncertainties and decision-independent uncertainties for IES - Covers online scheduling and energy auctions by stochastic optimization methods - Includes analytic results given to measure the performance gap between real performance and ideal performance

Download or read book Intelligent Control in Energy Systems written by Anastasios Dounis and published by MDPI. This book was released on 2019-08-26 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust μ-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Download or read book Intelligent Renewable Energy Systems written by Gerasimos Rigatos and published by Springer. This book was released on 2016-08-06 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focused on renewable energy systems and the development of information and communication technologies (ICTs) for their integration in smart grids, this book presents recent advances and methods that help to ensure that power generation from renewable sources remains stable, that power losses are minimized, and that the reliable functioning of these power generation units is maintained. The book highlights key topics and technologies for renewable energy systems including the intelligent control of power generators, power electronics that connect renewable power generation units to the grid, and fault diagnosis for power generators and power electronics. In particular, the following topics are addressed: • Modeling and control of power generators (PMSGs, DFIGs); • Modeling and control of power electronics (converters, inverters); • Modeling and fault diagnosis of the transmission and distribution Grid; and • Modelling and control of distributed power generation units (interconnected synchronous generators or photovoltaic units). Because of the above coverage, members of the wider engineering community will find that the nonlinear control and estimation methods presented provide essential insights into the functioning of renewable energy power systems, while the academic community will find the book a valuable textbook for undergraduate or graduate courses on renewable energy systems.