Download or read book Combinatorial Optimization of Alternating Current Electric Power Systems written by Chi-Kin Chau and published by . This book was released on 2018 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Combinatorial Optimization of Alternating Current Electric Power Systems written by Sid Chi-Kin Chau and published by Foundations and Trends (R) in Electric Energy Systems. This book was released on 2018-12-19 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: The electric power grid which has been an indispensable part of our society is being put under increasing pressure to meet the demands of a major surge in global energy consumption. As a result, the power grid needs to undergo transformations to meet the new challenges for a more sustainable society. One of these transformations is the need for continuous optimization in the smart grid so that it can react rapidly to dynamic situations in presence of fluctuating demands and uncertain renewable energy. In the past, the operations of power grid relied on careful a-priori planning, under the assumptions of static demands and predictable circumstances. In the era of dynamic smart grid, self-optimization with adaptive control is more crucial to its operations. Many of the ideas developed by the theoretical computer science community can be applied in such cases. This monograph establishes an interdisciplinary bridge between power systems engineering and theoretical computer science by relating the practical and challenging problems in electric power systems with the modern theoretical tools from computer science. The proper understanding of these hard problems in electric power systems can advance the frontiers of both communities. This monograph introduces Power System Engineers to the concepts and results of approximation algorithms, and applies them to solve electric power systems problems as well as providing Computer Scientists with an exposition of a class of challenging combinatorial problems in electric power systems.

Download or read book Conic Optimization of Electric Power Systems written by Joshua Adam Taylor and published by . This book was released on 2011 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: The electric power grid is recognized as an essential modern infrastructure that poses numerous canonical design and operational problems. Perhaps most critically, the inherently large scale of the power grid and similar systems necessitates fast algorithms. A particular complication distinguishing problems in power systems from those arising in other large infrastructures is the mathematical description of alternating current power flow: it is nonconvex, and thus excludes power systems from many frameworks benefiting from theoretically and practically efficient algorithms. However, advances over the past twenty years in optimization have led to broader classes possessing such algorithms, as well as procedures for transferring nonconvex problem to these classes. In this thesis, we approximate difficult problems in power systems with tractable, conic programs. First, we formulate a new type of NP-hard graph cut arising from undirected multicommodity flow networks. An eigenvalue bound in the form of the Cheeger inequality is proven, which serves as a starting point for deriving semidefinite relaxations. We next apply a lift-and-project type relaxation to transmission system planning. The approach unifies and improves upon existing models based on the DC power flow approximation, and yields new mixed-integer linear, second-order cone, and semidefinite models for the AC case. The AC models are particularly applicable to scenarios in which the DC approximation is not justified, such as the all-electric ship. Lastly, we consider distribution system reconfiguration. By making physically motivated simplifications to the DistFlow equations, we obtain mixed-integer quadratic, quadratically constrained, and second-order cone formulations, which are accurate and efficient enough for near-optimal, real-time application. We test each model on standard benchmark problems, as well as a new benchmark abstracted from a notional shipboard power system. The models accurately approximate the original formulations, while demonstrating the scalability required for application to realistic systems. Collectively, the models provide tangible new tradeoffs between computational efficiency and accuracy for fundamental problems in power systems.

Download or read book Optimization Methods Applied to Power Systems written by Francisco G. Montoya and published by MDPI. This book was released on 2019-07-26 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.

Download or read book Modern Music Inspired Optimization Algorithms for Electric Power Systems written by Mohammad Kiani-Moghaddam and published by Springer. This book was released on 2019-05-21 with total page 727 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s world, with an increase in the breadth and scope of real-world engineering optimization problems as well as with the advent of big data, improving the performance and efficiency of algorithms for solving such problems has become an indispensable need for specialists and researchers. In contrast to conventional books in the field that employ traditional single-stage computational, single-dimensional, and single-homogeneous optimization algorithms, this book addresses multiple newfound architectures for meta-heuristic music-inspired optimization algorithms. These proposed algorithms, with multi-stage computational, multi-dimensional, and multi-inhomogeneous structures, bring about a new direction in the architecture of meta-heuristic algorithms for solving complicated, real-world, large-scale, non-convex, non-smooth engineering optimization problems having a non-linear, mixed-integer nature with big data. The architectures of these new algorithms may also be appropriate for finding an optimal solution or a Pareto-optimal solution set with higher accuracy and speed in comparison to other optimization algorithms, when feasible regions of the solution space and/or dimensions of the optimization problem increase. This book, unlike conventional books on power systems problems that only consider simple and impractical models, deals with complicated, techno-economic, real-world, large-scale models of power systems operation and planning. Innovative applicable ideas in these models make this book a precious resource for specialists and researchers with a background in power systems operation and planning. Provides an understanding of the optimization problems and algorithms, particularly meta-heuristic optimization algorithms, found in fields such as engineering, economics, management, and operations research; Enhances existing architectures and develops innovative architectures for meta-heuristic music-inspired optimization algorithms in order to deal with complicated, real-world, large-scale, non-convex, non-smooth engineering optimization problems having a non-linear, mixed-integer nature with big data; Addresses innovative multi-level, techno-economic, real-world, large-scale, computational-logical frameworks for power systems operation and planning, and illustrates practical training on implementation of the frameworks using the meta-heuristic music-inspired optimization algorithms.

Download or read book Approximation Algorithms and Mechanism Design for Power Systems written by Ali Khodabakhsh and published by . This book was released on 2021 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: In real life, many combinatorial optimization problems are solved by simple algorithms (e.g., greedy, local search, thresholding, etc.) without any provable guarantees on the performance of the returned solution compared to the optimal one. Even though theoretical computer scientists have established strong results for the performance of such algorithms in diverse settings, it is not always easy to match the real life application to one of those well-studied problems. That said, we also have power systems which is a rich source of combinatorial optimization problems. The combinatorial nature arises whether it is turning switches on or off, assigning generation to different sources, scheduling charging or discharging of electric vehicles, splitting loads between different phases, or installing equipment at certain locations of the grid. On top of the combinatorial nature, these applications usually entail another level of complexity due to the nonlinearity of their objective and/or constraints. In this Ph.D. dissertation, I will try to bridge theoretical computer science and power systems by utilizing tools from approximation algorithms and mechanism design to provide rigorous guarantees for three problems in power systems. Contributing to the intersection of these two fields is important to both push the state-of-the-art approximation algorithms by introducing new problems that cannot be solved with existing techniques, as well as provide methods for both scalable and rigorous solutions to problems arising in real-world power systems. In the first problem, the goal is to minimize the power loss in a distribution network via changing the on/off status of switches in the network. Bringing to bear recent advances in submodular optimization, we derive performance bounds for a simple local-search algorithm that has been used in practice for a long time. We then focus on special properties of the grid that let us develop tailored algorithms with improved performance guarantees. Finally, we use our insights from our theoretical analysis to propose a general heuristic for the network reconfiguration problem that is orders of magnitude faster than existing methods in the literature, while obtaining comparable performance. In the second problem, we propose a novel way to use electric vehicles as dynamic energy storage for supporting the power grid, by discharging them at designated times and locations of need. We show that the underlying scheduling problem is NP-hard and propose various approximation algorithms with different performance guarantees. Finally in the last problem, we study a mechanism design problem for a system operator who wants to optimally assign the demand to different energy generators. We study this as a dynamic procurement auction, in which the generators may go out of business if they are not frequently picked. Since this will increase the electricity price in the long term, the system operator has to design a mechanism that minimizes the overall cost via selecting different sources frequent enough to maintain the competition. We show how to obtain optimal thresholding mechanisms via a greedy approach

Download or read book Optimization in Artificial Intelligence and Data Sciences written by Lavinia Amorosi and published by Springer Nature. This book was released on 2022-05-20 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is addressed to researchers in operations research, data science and artificial intelligence. It collects selected contributions from the first hybrid “Optimization and Decision Science - ODS2021” international conference on the theme Optimization and Artificial Intelligence and Data Sciences, which was held in Rome 14-17 September 2021 and organized by AIRO, the Italian Operations Research Society and the Department of Statistical Sciences of Sapienza University of Rome. The book offers new and original contributions on different methodological optimization topics, from Support Vector Machines to Game Theory Network Models, from Mathematical Programming to Heuristic Algorithms, and Optimization Methods for a number of emerging problems from Truck and Drone delivery to Risk Assessment, from Power Networks Design to Portfolio Optimization. The articles in the book can give a significant edge to the general themes of sustainability and pollution reduction, distributive logistics, healthcare management in pandemic scenarios and clinical trials, distributed computing, scheduling, and many others. For these reasons, the book is aimed not only at researchers in the Operations Research community but also for practitioners facing decision-making problems in these areas and to students and researchers from other disciplines, including Artificial Intelligence, Computer Sciences, Finance, Mathematics, and Engineering.

Download or read book Modern Optimisation Techniques in Power Systems written by Yong-Hua Song and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The electric power industry is currently undergoing an unprecedented reform. The deregulation of electricity supply industry has introduced new opportunity for competition to reduce the cost and cut the price. It is a tremendous challenge for utilities to maintain an economical and reliable supply of electricity in such an environment. Faced by an increasingly complicated existence, power utilities need efficient tools and aids to ensure that electrical energy of the desired quality can be provided at the lowest cost. The overall objective, both for short-term and long-term operations, is then to find the best compromise between the requirements of security and economy. That is, effective tools are urgently required to solve highly constrained optimisation problems. In recent years, several major modem optimisation techniques have been applied to power systems. A large number of papers and reports have been published. In this respect, it is timely to edit a book on this topic with an aim to report the state of the art development internationally in this area.

Download or read book Computing And Optimization For Dc Power Systems Of Electric Transport written by Dmytro Bosyi and published by . This book was released on 2019 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modern Optimization Techniques with Applications in Electric Power Systems written by Soliman Abdel-Hady Soliman and published by Springer. This book was released on 2014-03-03 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the application of some AI related optimization techniques in the operation and control of electric power systems. With practical applications and examples the use of functional analysis, simulated annealing, Tabu-search, Genetic algorithms and fuzzy systems for the optimization of power systems is discussed in detail. Preliminary mathematical concepts are presented before moving to more advanced material. Researchers and graduate students will benefit from this book. Engineers working in utility companies, operations and control, and resource management will also find this book useful. ​

Download or read book Non linear Electromagnetic Systems written by Volkmar Kose and published by IOS Press. This book was released on 1998 with total page 926 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contents is dominated by the latest problems of applied electrical engineering, micro electromechanics, biosensor technology and biomagnetism. The book covers the numerical calculation methods for the design and optimization of sensors, actuators and electric machines, as well as the treatment of inverse problems, in materials testing and in the field of medicine in particular. Other central topics are the material properties and their simulation and much consideration is given to micro-electromechanics.

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1976 with total page 1056 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Alternating Current Electricity and its applications to industry Answers written by William Henry TIMBIE (and HIGBIE (Henry Harold)) and published by . This book was released on 1914 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 26201 14 Alternating Current Trainee Guide written by NCCER and published by Prentice Hall. This book was released on 2014-07-31 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: (Module ID 26201-14) Describes forces that are characteristic of alternating-current systems and the application of Ohm's law to AC circuits.

Download or read book Power and energy in alternating current circuits written by Heinz Rieger and published by . This book was released on 1979 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Electrical Electronics Abstracts written by and published by . This book was released on 1997 with total page 2092 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Uncertainties in Modern Power Systems written by Ahmed F. Zobaa and published by Academic Press. This book was released on 2020-10-26 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainties in Modern Power Systems combines several aspects of uncertainty management in power systems at the planning and operation stages within an integrated framework. This book provides the state-of-the-art in electric network planning, including time-scales, reliability, quality, optimal allocation of compensators and distributed generators, mathematical formulation, and search algorithms. The book introduces innovative research outcomes, programs, algorithms, and approaches that consolidate the present status and future opportunities and challenges of power systems. The book also offers a comprehensive description of the overall process in terms of understanding, creating, data gathering, and managing complex electrical engineering applications with uncertainties. This reference is useful for researchers, engineers, and operators in power distribution systems. - Includes innovative research outcomes, programs, algorithms, and approaches that consolidate current status and future of modern power systems - Discusses how uncertainties will impact on the performance of power systems - Offers solutions to significant challenges in power systems planning to achieve the best operational performance of the different electric power sectors