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Author : Seid Alireza Razavi Majomard
Publisher :
ISBN 13 :
Total Pages : 85 pages
Book Rating : 4.:/5 (68 download)
Download or read book Distributed Optimization in an Energy-constrained Network written by Seid Alireza Razavi Majomard and published by . This book was released on 2010 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 6 pages
Book Rating : 4.:/5 (426 download)
Download or read book Distributed Optimization in an Energy-Constrained Network Using a Digital Communication Scheme written by and published by . This book was released on 2009 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: We consider a distributed optimization problem where n nodes, S_I, I\in{1 ..., n}), wish to minimize a common strongly convex function f(x), x=[x_1 ..., x_n]^T, and suppose that node S_I only has control of variable x_I. The nodes locally update their respective variables and periodically exchange their values over noisy channels. Previous studies of this problem have mainly focused on the convergence issue and the analysis of convergence rate. In this work, we focus on the communication energy and study its impact on convergence. In particular, we study the minimum amount of communication energy required for nodes to obtain an \epsilon-minimizer of f(x) in the mean square sense.
Author : Huaqing Li
Publisher : Springer Nature
ISBN 13 : 9811561095
Total Pages : 243 pages
Book Rating : 4.8/5 (115 download)
Download or read book Distributed Optimization: Advances in Theories, Methods, and Applications written by Huaqing Li and published by Springer Nature. This book was released on 2020-08-04 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike. Focusing on the natures and functions of agents, communication networks and algorithms in the context of distributed optimization for networked control systems, this book introduces readers to the background of distributed optimization; recent developments in distributed algorithms for various types of underlying communication networks; the implementation of computation-efficient and communication-efficient strategies in the execution of distributed algorithms; and the frameworks of convergence analysis and performance evaluation. On this basis, the book then thoroughly studies 1) distributed constrained optimization and the random sleep scheme, from an agent perspective; 2) asynchronous broadcast-based algorithms, event-triggered communication, quantized communication, unbalanced directed networks, and time-varying networks, from a communication network perspective; and 3) accelerated algorithms and stochastic gradient algorithms, from an algorithm perspective. Finally, the applications of distributed optimization in large-scale statistical learning, wireless sensor networks, and for optimal energy management in smart grids are discussed.
Download or read book Robust Distributed Optimization in Wireless Sensor Network written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless sensor networks continue to get tremendous popularity, as evidenced by the increasing number of applications for these networks. The limiting factors of the sensor nodes, such as their finite energy supplies and their moderate processing abilities, as well as the unreliable wireless medium restrict the performance of wireless sensor networks. Energy efficient communication is a critical design objective for wireless sensor networks which are usually highly energy constrained. To achieve these goals, this thesis describes a distributed approach for solving several optimization problems in wireless sensor network. The idea of distributed signal processing relies on the divide-and-conquer paradigm, which is often used in multiprocessor computers. According to the divide-and-conquer paradigm, a problem is divided into multiple sub-problems of smaller size. Every sensor solves each subproblem by using the same algorithm, and the solution to the original problem is obtained by combining the outputs from the different sensors. By designing appropriate communication protocols and collaborative computational schemes, sensors operate as distributed adaptive filters and generate the desired result. In an incremental mode of cooperation, information flows in a sequential manner from one node to the adjacent node. This mode of operation requires a cyclic pattern of collaboration among the nodes. In a diffusion implementation, on the other hand, each node communicates with all its neighbours as dictated by the network topology. READ FULL ABSTRACT IN THE DOCUMENT.
Author : Fanghong Guo
Publisher : CRC Press
ISBN 13 : 1351613979
Total Pages : 192 pages
Book Rating : 4.3/5 (516 download)
Download or read book Distributed Control and Optimization Technologies in Smart Grid Systems written by Fanghong Guo and published by CRC Press. This book was released on 2017-11-09 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : W. Wicak Ananduta
Publisher : Springer Nature
ISBN 13 : 3030898032
Total Pages : 164 pages
Book Rating : 4.0/5 (38 download)
Download or read book Non-centralized Optimization-Based Control Schemes for Large-Scale Energy Systems written by W. Wicak Ananduta and published by Springer Nature. This book was released on 2021-12-11 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the development of innovative non-centralized optimization-based control schemes to solve economic dispatch problems of large-scale energy systems. Particularly, it focuses on communication and cooperation processes of local controllers, which are integral parts of such schemes. The economic dispatch problem, which is formulated as a convex optimization problem with edge‐based coupling constraints, is solved by using methodologies in distributed optimization over time-varying networks, together with distributed model predictive control, and system partitioning techniques. At first, the book describes two distributed optimization methods, which are iterative and require the local controllers to exchange information with each other at each iteration. In turn, it shows that the sequence produced by these methods converges to an optimal solution when some conditions, which include how the controllers must communicate and cooperate, are satisfied. Further, it proposes an information exchange protocol to cope with possible communication link failures. Finally, the proposed distributed optimization methods are extended to the cases with random communication networks and asynchronous updates. Overall, this book presents a set of improved predictive control and distributed optimization methods, together with a rigorous mathematical analysis of each proposed algorithms. It describes a comprehensive approach to cope with communication and cooperation issues of non-centralized control schemes and show how the improved schemes can be successfully applied to solve the economic dispatch problems of large-scale energy systems.
Author : Huiwei Wang
Publisher : Springer Nature
ISBN 13 : 9813345284
Total Pages : 227 pages
Book Rating : 4.8/5 (133 download)
Download or read book Distributed Optimization, Game and Learning Algorithms written by Huiwei Wang and published by Springer Nature. This book was released on 2021-01-04 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.
Author : Engelmann, Alexander
Publisher : KIT Scientific Publishing
ISBN 13 : 3731511800
Total Pages : 226 pages
Book Rating : 4.7/5 (315 download)
Download or read book Distributed Optimization with Application to Power Systems and Control written by Engelmann, Alexander and published by KIT Scientific Publishing. This book was released on 2022-11-21 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical optimization techniques are among the most successful tools for controlling technical systems optimally with feasibility guarantees. Yet, they are often centralized—all data has to be collected in one central and computationally powerful entity. Methods from distributed optimization overcome this limitation. Classical approaches, however, are often not applicable due to non-convexities. This work develops one of the first frameworks for distributed non-convex optimization.
Author : Mariana Resener
Publisher : Springer Nature
ISBN 13 : 3030361152
Total Pages : 382 pages
Book Rating : 4.0/5 (33 download)
Download or read book Handbook of Optimization in Electric Power Distribution Systems written by Mariana Resener and published by Springer Nature. This book was released on 2020-02-24 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook gathers state-of-the-art research on optimization problems in power distribution systems, covering classical problems as well as the challenges introduced by distributed power generation and smart grid resources. It also presents recent models, solution techniques and computational tools to solve planning problems for power distribution systems and explains how to apply them in distributed and variable energy generation resources. As such, the book therefore is a valuable tool to leverage the expansion and operation planning of electricity distribution networks.
Author : Alfredo Vaccaro
Publisher : BoD – Books on Demand
ISBN 13 : 1789238919
Total Pages : 172 pages
Book Rating : 4.7/5 (892 download)
Download or read book Research Trends and Challenges in Smart Grids written by Alfredo Vaccaro and published by BoD – Books on Demand. This book was released on 2020-01-15 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the most promising enabling technologies and methodologies for smart grids. It not only focuses on technological breakthroughs and roadmaps in implementing these technologies, but also presents the much-needed sharing of best practices, demonstrating the potential role of smart grid functions in improving the technical, economic, and environmental performance of modern power distribution systems. This can be achieved by allowing for massive pervasion of dispersed generating units, increasing the hosting capacity of renewable power generators, reducing active power losses and atmospheric emissions, and improving system flexibility.
Author : Shuguang (Robert) Cui
Publisher :
ISBN 13 :
Total Pages : 124 pages
Book Rating : 4.:/5 (794 download)
Download or read book Cross-layer Optimization in Energy Constrained Networks written by Shuguang (Robert) Cui and published by . This book was released on 2005 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Qingguo Lü
Publisher : Springer Nature
ISBN 13 : 9811985596
Total Pages : 282 pages
Book Rating : 4.8/5 (119 download)
Download or read book Distributed Optimization in Networked Systems written by Qingguo Lü and published by Springer Nature. This book was released on 2023-02-08 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of distributed optimization in networked systems and their successful application to real-world applications (smart grids and online learning). Readers may be particularly interested in the sections on consensus protocols, optimization skills, accelerated mechanisms, event-triggered strategies, variance-reduction communication techniques, etc., in connection with distributed optimization in various networked systems. This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike.
Author : Yuanxiong Guo
Publisher : Springer
ISBN 13 : 3319595296
Total Pages : 84 pages
Book Rating : 4.3/5 (195 download)
Download or read book Stochastic Optimization for Distributed Energy Resources in Smart Grids written by Yuanxiong Guo and published by Springer. This book was released on 2017-06-21 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief focuses on stochastic energy optimization for distributed energy resources in smart grids. Along with a review of drivers and recent developments towards distributed energy resources, this brief presents research challenges of integrating millions of distributed energy resources into the grid. The brief then proposes a novel three-level hierarchical architecture for effectively integrating distributed energy resources into smart grids. Under the proposed hierarchical architecture, distributed energy resource management algorithms at the three levels (i.e., smart home, smart neighborhood, and smart microgrid) are developed in this brief based on stochastic optimization that can handle the involved uncertainties in the system.
Author : Qiuwei Wu
Publisher : Elsevier
ISBN 13 : 044319016X
Total Pages : 366 pages
Book Rating : 4.4/5 (431 download)
Download or read book Optimal Operation of Active Distribution Networks written by Qiuwei Wu and published by Elsevier. This book was released on 2023-08-29 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal Operation of Active Distribution Networks: Congestion Management, Voltage Control and Service Restoration provides researchers and practitioners with a clear and modern understanding of how to optimize the economic, secure and resilient operation of active distribution networks. The book provides case studies, modern implementations and supporting flowcharts and code, along with current research in congestion management, service restoration and voltage control of active distribution networks. Chapter provide an overview of the active distribution network concept, present key approaches for the congestion management of active distribution networks, and cover approaches in uncertainty, coordination of DLMP, scheduled re-profiling, and more. Other sections cover real-time congestion management and service restoration of active distribution networks. Reviews how to optimally operate active distribution networks under normal conditions and demonstrates worked solutions and contingency planning to mitigate unforeseen challenges Provides clear guidance on optimizing congestion management, voltage control and service restoration in DER-heavy systems Demonstrates how to implement distributed voltage control in systems using active distribution networks Provides an extensive body of methods, associated case studies, worked solutions and implementation discussions on how to embed best practices in engineering and research workflows
Author : Eric Munsing
Publisher :
ISBN 13 :
Total Pages : 141 pages
Book Rating : 4.:/5 (18 download)
Download or read book Optimization Tools for Constrained Energy Markets written by Eric Munsing and published by . This book was released on 2018 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation develops an interdisciplinary approach to integrating renewable energy resources into energy markets, using tools from optimization theory, power systems, and economics. It advances prior work with the development of a set of tools for securing distributed and fully-decentralized optimization problems, including both algorithmic guards against attacks by malicious nodes, and system architectures which can enable decentralized security checks. Leveraging the emerging technologies of blockchains and smart contracts, it develops a new paradigm of blockchain-secured distributed optimization, demonstrated with simulation of a microgrid which is able to securely operate without oversight from a utility or central operator. As the goal of interdisciplinary research is to show mastery of each field and extend current knowledge by exploring their intersection, the chapters of this dissertation are designed to support that goal: • Chapter 1 provides background on the technical challenges of integrating high amounts of renewable energy into the electricity system, and discusses technologies and policies which can address those challenges. • Chapter 2 introduces the idea of applying optimization tools to energy systems by studying a small-scale energy harvesting system in which batteries and capacitors are used to meet a defined load, and constraints force the use of nonlinear optimization techniques. • Chapter 3 explores how large-scale energy storage systems can be designed and sited to maximize profits from participating in wholesale energy markets, using a linear program which demonstrates how convex optimization tools can be united with energy market data to create scalable tools for modeling large networks. • Chapter 4 expands the study of market-based models by examining the strategic operation of generation resources on a congested network. We use game theory to model participants’ behavior, power flow models to reflect the underlying constraints of the physical network, and robust convex optimization to explore how uncertainty is integrated into decision-making. • Chapter 5 discusses how decentralized optimization models can facilitate scalable optimization tools, and explores the security risks which these optimization models introduce. Tools for detection and mitigation of attacks are explored and tested on a simple problem. Potential architectures for securing decentralized optimization are explored, including blockchains and smart contracts. • Chapter 6 extends this approach by developing a blockchain-secured fully-decentralized optimization for a microgrid dispatch problem, coordinating distributed energy resources. By demonstrating the usefulness of this blockchain-secured optimization model, this culminating chapter shows how difficult optimization models can be scalably solved in a manner which respects privacy while guaranteeing security. • The Appendices present tutorial material on the tools used throughout the paper, and are supplemented by the code in the author’s github repository: https://github.com/emunsing/tutorials.
Author : Rabab Haider
Publisher :
ISBN 13 :
Total Pages : 310 pages
Book Rating : 4.:/5 (126 download)
Download or read book Optimal Coordination of Distributed Energy Resources in Smart Grids Enabled by Distributed Optimization and Transactive Energy written by Rabab Haider and published by . This book was released on 2020 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern active distribution grids are characterized by the increasing penetration of distributed energy resources (DERs). The proper coordination and scheduling of a large numbers of these DERs can only be achieved at the nexus of new technological approaches and policies, primarily distributed computation and transactive energy. Transactive energy is a control mechanism which uses economic incentives, such as time-of-use or real-time electricity prices, to influence the behaviour of independent agents (i.e. DERs in the grid) as needed by the grid operator. This thesis tackles the problem of DER coordination by considering the role of distributed optimization algorithms in solving the optimal power flow (OPF) problem, when a large number of small scale DERs are present. The OPF problem minimizes costs to operate the grid, while subject to network constraints. The distributed implementation makes large-scale problems computationally tractable, while also maintaining privacy of local information. First, we utilize a new convex formulation of the power grid based on current injection (CI) and McCormick Envelopes, to model distribution grids of meshed topology and unbalanced structure. The OPF problem is then solved for such grid structures, using the distributed proximal atomic coordination (PAC) algorithm, which has several advantages over other distributed algorithms. These advantages include reduced network communication requirements, reduced local computational effort, and improved privacy. The DER coordination problem is then extended to consider storage devices. This requires a multi-period OPF formulation, which is also solved using the PAC algorithm. Results from active configurations of the IEEE 123-bus network corroborate the need for a multi-period optimization approach under high penetration of renewable resources. Finally, we propose a retail market mechanism which can be viewed as a transactive energy scheme within the distribution grid. Through the retail market, DERs are optimally scheduled in an energy market, and leveraged in alert system cases in an ancillary services market. The transactions of the energy market are carried out at each primacy feeder through bilateral agreements between the Distribution System Operator (DSO) and agents representing DERs at feeder buses, leveraging the PAC algorithm. These interactions determine the optimal real-time resource schedules and distributed Locational Marginal Price. The PAC algorithm and proposed market are extensively validated on a real distribution grid in Tokyo, a balanced IEEE 123-bus distribution grid, and a three feeder model using the IEEE 13-bus. The energy market is shown to result in an overall increase in revenue for the DSO.
Author : Zhongguo Li
Publisher : Elsevier
ISBN 13 : 0443216371
Total Pages : 288 pages
Book Rating : 4.4/5 (432 download)
Download or read book Distributed Optimization and Learning written by Zhongguo Li and published by Elsevier. This book was released on 2024-08-06 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained description of distributed optimization and learning algorithms from a control-theoretic perspective. It focuses on exploring control-theoretic approaches and how those approaches can be utilized to solve distributed optimization and learning problems over network-connected, multi-agent systems. As there are strong links between optimization and learning, this book provides a unified platform for understanding distributed optimization and learning algorithms for different purposes. Provides a series of the latest results, including but not limited to, distributed cooperative and competitive optimization, machine learning, and optimal resource allocation Presents the most recent advances in theory and applications of distributed optimization and machine learning, including insightful connections to traditional control techniques Offers numerical and simulation results in each chapter in order to reflect engineering practice and demonstrate the main focus of developed analysis and synthesis approaches
