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Author: Eric MSP Veith
Publisher: Logos Verlag Berlin GmbH
ISBN: 3832545123
Category : Computers
Languages : en
Pages : 268
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Book Description
"Somewhere, there is always wind blowing or the sun shining." This maxim could lead the global shift from fossil to renewable energy sources, suggesting that there is enough energy available to be turned into electricity. But the already impressive numbers that are available today, along with the European Union's 20-20-20 goal – to power 20% of the EU energy consumption from renewables until 2020 –, might mislead us over the problem that the go-to renewables readily available rely on a primary energy source mankind cannot control: the weather. At the same time, the notion of the smart grid introduces a vast array of new data coming from sensors in the power grid, at wind farms, power plants, transformers, and consumers. The new wealth of information might seem overwhelming, but can help to manage the different actors in the power grid. This book proposes to view the problem of power generation and distribution in the face of increased volatility as a problem of information distribution and processing. It enhances the power grid by turning its nodes into agents that forecast their local power balance from historical data, using artificial neural networks and the multi-part evolutionary training algorithm described in this book. They pro-actively communicate power demand and supply, adhering to a set of behavioral rules this book defines, and finally solve the 0-1 knapsack problem of choosing offers in such a way that not only solves the disequilibrium, but also minimizes line loss, by elegant modeling in the Boolean domain. The book shows that the Divide-et-Impera approach of a distributed grid control can lead to an efficient, reliable integration of volatile renewable energy sources into the power grid.
Author: Eric MSP Veith
Publisher: Logos Verlag Berlin GmbH
ISBN: 3832545123
Category : Computers
Languages : en
Pages : 268
Get Book Here
Book Description
"Somewhere, there is always wind blowing or the sun shining." This maxim could lead the global shift from fossil to renewable energy sources, suggesting that there is enough energy available to be turned into electricity. But the already impressive numbers that are available today, along with the European Union's 20-20-20 goal – to power 20% of the EU energy consumption from renewables until 2020 –, might mislead us over the problem that the go-to renewables readily available rely on a primary energy source mankind cannot control: the weather. At the same time, the notion of the smart grid introduces a vast array of new data coming from sensors in the power grid, at wind farms, power plants, transformers, and consumers. The new wealth of information might seem overwhelming, but can help to manage the different actors in the power grid. This book proposes to view the problem of power generation and distribution in the face of increased volatility as a problem of information distribution and processing. It enhances the power grid by turning its nodes into agents that forecast their local power balance from historical data, using artificial neural networks and the multi-part evolutionary training algorithm described in this book. They pro-actively communicate power demand and supply, adhering to a set of behavioral rules this book defines, and finally solve the 0-1 knapsack problem of choosing offers in such a way that not only solves the disequilibrium, but also minimizes line loss, by elegant modeling in the Boolean domain. The book shows that the Divide-et-Impera approach of a distributed grid control can lead to an efficient, reliable integration of volatile renewable energy sources into the power grid.
Author: Eric Msp Veith
Publisher:
ISBN: 9783832592233
Category :
Languages : en
Pages : 268
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Book Description
Author: Andres Carvallo
Publisher: Artech House
ISBN: 1608079643
Category : Technology & Engineering
Languages : en
Pages : 293
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Book Description
Placing emphasis on practical “how-to” guidance, this cutting-edge resource provides a first-hand, insider’s perspective on the advent and evolution of smart grids in the 21st century. This book presents engineers, researchers, and students with the building blocks that comprise basic smart grids, including power plant, transmission substation, distribution, and meter automation. Moreover, this forward-looking volume explores the next step of this technology’s evolution. It provides a detailed explanation of how an advanced smart grid incorporates demand response with smart appliances and management mechanisms for distributed generation, energy storage, and electric vehicles. This updated second edition focuses on the disruptive impact of DER. This new edition also includes a glossary with well over 100 acronyms and terms, acknowledging the tremendous challenge for a student of smart energy and smart grid to grasp this complex industry.
Author: Fanghong Guo
Publisher: CRC Press
ISBN: 1351613979
Category : Science
Languages : en
Pages : 192
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Book Description
The book aims to equalize the theoretical involvement with industrial practicality and build a bridge between academia and industry by reducing the mathematical difficulties. It provides an overview of distributed control and distributed optimization theory, followed by specific details on industrial applications to smart grid systems, with a special focus on micro grid systems. Each of the chapters is written and organized with an introductory section tailored to provide the essential background of the theories required. The text includes industrial applications to realistic renewable energy systems problems and illustrates the application of proposed toolsets to control and optimization of smart grid systems.
Author: Radian Belu
Publisher: CRC Press
ISBN: 1482256703
Category : Technology & Engineering
Languages : en
Pages : 635
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Book Description
The textbook provides a comprehensive overview of smart grids, their role in the development of electricity systems, as well as issues and problems related to smart grid evolution, operation, management, control, protection, entities, and components. The book is divided in eleven chapters, covering core topics such as energy, and environmental issues, basic of power systems, and introduction to renewable energy, distributed generation and energy storage, smart grid challenges, benefits, and divers, smart power transmission and distribution. It includes chapters focusing on smart grid communication, power flow analysis, smart grid design tools, energy management and microgrids. Each chapter ends with several practical and advanced problems that instilling critical thinking and applies to industrial applications. The book can be used as an introductory and basic textbook, reference and training resource by engineers, students, faculty, and interested readers to gain the essential knowledge of the power and energy systems, smart grid fundamentals, concepts and features, as well as the main energy technologies, including how they work and operate, characteristics, and they are evaluated and selected for specific applications.
Author: Hossam Gabbar
Publisher: Academic Press
ISBN: 0128092327
Category : Technology & Engineering
Languages : en
Pages : 570
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Book Description
Smart Energy Grid Engineering provides in-depth detail on the various important engineering challenges of smart energy grid design and operation by focusing on advanced methods and practices for designing different components and their integration within the grid. Governments around the world are investing heavily in smart energy grids to ensure optimum energy use and supply, enable better planning for outage responses and recovery, and facilitate the integration of heterogeneous technologies such as renewable energy systems, electrical vehicle networks, and smart homes around the grid. By looking at case studies and best practices that illustrate how to implement smart energy grid infrastructures and analyze the technical details involved in tackling emerging challenges, this valuable reference considers the important engineering aspects of design and implementation, energy generation, utilization and energy conservation, intelligent control and monitoring data analysis security, and asset integrity. - Includes detailed support to integrate systems for smart grid infrastructures - Features global case studies outlining design components and their integration within the grid - Provides examples and best practices from industry that will assist in the migration to smart grids
Author: Qing-Chang Zhong
Publisher: John Wiley & Sons
ISBN: 1118803523
Category : Technology & Engineering
Languages : en
Pages : 491
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Book Description
Power systems worldwide are going through a paradigm shift from centralized generation to distributed generation. This book presents the SYNDEM (i.e., synchronized and democratized) grid architecture and its technical routes to harmonize the integration of renewable energy sources, electric vehicles, storage systems, and flexible loads, with the synchronization mechanism of synchronous machines, to enable autonomous operation of power systems, and to promote energy freedom. This is a game changer for the grid. It is the sort of breakthrough — like the touch screen in smart phones — that helps to push an industry from one era to the next, as reported by Keith Schneider, a New York Times correspondent since 1982. This book contains an introductory chapter and additional 24 chapters in five parts: Theoretical Framework, First-Generation VSM (virtual synchronous machines), Second-Generation VSM, Third-Generation VSM, and Case Studies. Most of the chapters include experimental results. As the first book of its kind for power electronics-enabled autonomous power systems, it • introduces a holistic architecture applicable to both large and small power systems, including aircraft power systems, ship power systems, microgrids, and supergrids • provides latest research to address the unprecedented challenges faced by power systems and to enhance grid stability, reliability, security, resiliency, and sustainability • demonstrates how future power systems achieve harmonious interaction, prevent local faults from cascading into wide-area blackouts, and operate autonomously with minimized cyber-attacks • highlights the significance of the SYNDEM concept for power systems and beyond Power Electronics-Enabled Autonomous Power Systems is an excellent book for researchers, engineers, and students involved in energy and power systems, electrical and control engineering, and power electronics. The SYNDEM theoretical framework chapter is also suitable for policy makers, legislators, entrepreneurs, commissioners of utility commissions, energy and environmental agency staff, utility personnel, investors, consultants, and attorneys.
Author: Andrés Cortés
Publisher:
ISBN:
Category :
Languages : en
Pages : 187
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Book Description
Sustainable energy is a top-priority for researchers these days, since electricity and transportation are pillars of modern society. Integration of clean energy technologies such as wind, solar, and plug-in electric vehicles (PEVs), is a major engineering challenge in operation and management of power systems. This is due to the uncertain nature of renewable energy technologies and the large amount of extra load that PEVs would add to the power grid. Given the networked structure of a power system, multi-agent control and optimization strategies are natural approaches to address the various problems of interest for the safe and reliable operation of the power grid. The distributed computation in multi-agent algorithms addresses three problems at the same time: i) it allows for the handling of problems with millions of variables that a single processor cannot compute, ii) it allows certain independence and privacy to electricity customers by not requiring any usage information, and iii) it is robust to localized failures in the communication network, being able to solve problems by simply neglecting the failing section of the system. We propose various algorithms to coordinate storage, generation, and demand resources in a power grid using multi-agent computation and decentralized decision making. First, we introduce a hierarchical vehicle-one-grid (V1G) algorithm for coordination of PEVs under usage constraints, where energy only flows from the grid in to the batteries of PEVs. We then present a hierarchical vehicle-to-grid (V2G) algorithm for PEV coordination that takes into consideration line capacity constraints in the distribution grid, and where energy flows both ways, from the grid in to the batteries, and from the batteries to the grid. Next, we develop a greedy-like hierarchical algorithm for management of demand response events with on/off loads. Finally, we introduce distributed algorithms for the optimal control of distributed energy resources, i.e., generation and storage in a microgrid. The algorithms we present are provably correct and tested in simulation. Each algorithm is assumed to work on a particular network topology, and simulation studies are carried out in order to demonstrate their convergence properties to a desired solution.
Author: Kiyoshi Nakayama
Publisher:
ISBN: 9781321021622
Category :
Languages : en
Pages : 171
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Book Description
Future smart grids will likely support bi-directional flow of electricity and include power production from multiple, disparate, and uncontrollable sources due to a high penetration of distributed renewable energy resources. Some of the more challenging problems for the future grid include maximizing the use and efficiency of renewable resources, and realizing optimal demand and power production responses that can complement renewable intermittency. Integration of renewables together with energy storage systems has been motivated by the increasing attention to feature renewable energies not only from solar and wind power but also from the excess generation from many customers. Effective use of renewable resources using battery systems can be realized by balancing distributed energy resources (DERs) with complementary demand and dispatchable generation responses. The spatial distribution, intermittency, and uncontrollability of most renewable resources, however, make stable and reliable electricity transmission and distribution difficult especially with high renewable market penetration in large-scale complex power networks. In order to use energy storage systems effectively for optimizing DERs and realizing a reliable and sustainable future grid with a lot of real-time end-use devices that anticipate demands automatically, we present an autonomous distributed control model that can realize optimum power flow control together with demand and power response. The proposed model, which integrates tie-set graph theory with an autonomous agent system, effectively divides the power network into a set of independent loops (tie-sets). Autonomous agents constantly navigate the network to dynamically synchronize state information within tie-sets and completely automate the future power network. Due to the theoretical basis of a tie-set graph, the supply and load of electric power at every instant can be balanced even if the future load is uncertain and renewable generation is highly variable and unpredictable. In this thesis, we developed a distributed control model to deal with the following important problems: Optimal Real-time Distribution of renewable Energy Resources (ORDER), Optimal Real-time Power Flow (ORPF), and Power-flow Loss Minimization (PLM). The objective of the ORDER problem is minimizing the power supply from a Centralized Generation Facility (CGF), which is a power production station that uses fossil fuels or any other resources except renewables, with balanced distribution and allocation of DERs. To minimize the power supply from CGF, the net demands (loads minus renewables) and power from CGF should be constantly balanced under the condition that the storage system at each node has at least certain amount of energy within the fixed range of the capacity. If all the net demands are balanced, power supply from CGF can be minimized and blackouts can be prevented. In ORPF problem, we expand the model by considering cost functions of using CGF and battery. The goal is to minimize the total cost, which consists of (1) the cost of power production by the CGF using fossil fuels and (2) the cost of using batteries across multiple time periods to balance the fluctuation of renewable power generation and loads. To solve the ORPF problem, we present a novel decentralized algorithm to autonomously allocate the CGF generations and battery charges/discharges. In PLM problem, power flow loss is taken into account on top of the model. A distributed algorithm is proposed to minimize the loss while distributing energy resources to consumers in a future grid that connects many real-time distributed generation systems. We employ the notion of tie-sets to create a linear vector space represented by a set of loops in the power network where the power loss function can be simply formulated and solved. As finding a solution for each tie-set enables global optimization, we propose parallel computing based on tie-sets by integrating autonomous agents; the power loss on every link can be minimized with iterative optimization within a system of independent tie-sets.
Author: Muhammad Kamran
Publisher: Elsevier
ISBN: 0323995616
Category : Technology & Engineering
Languages : en
Pages : 502
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Book Description
Fundamentals of Smart Grid Systems offers an expansive introduction to the operationalization, integration, and management of smart grids—the distributed, renewable, responsive, and highly efficient power grid on the verge of radically transforming our energy system. The book reviews the design of smart grid systems, their associated technologies, and operations, helping users develop a modern foundational understanding of smart grid systems and many of their advanced implementations, where sophisticated technologies are employed. The work serves as a guidebook and primer for early career researchers, with a rich integration of current science, modern applications, and future implementations. Presents critical enabling technologies of smart grid systems alongside relevant aspects of their design, modeling, control, and operations, accompanied by numerical examples Discusses how to approach the integration and management of renewable energy sources in smart grid environments Features didactic pedagogical elements, including end-of-chapter problems, supplemental slideshows, and figurative elements to clarify and explain complex concepts Focuses on modern applications and current implementations in industry, such as power electronics for smart grids, AI and machine learning-driven modeling, advanced control strategies, and electric vehicles
