Mathematical Models And Algorithms For Power System Optimization

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• Author : Mingtian Fan,Zuping Zhang,Chengmin Wang
• Publisher : Academic Press
• Release Date : 2019-08-23
• Total pages : 450
• ISBN : 9780128132319
• File Size : 36,8 Mb
• Total Download : 763
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Download Mathematical Models and Algorithms for Power System Optimization in PDF, Epub, and Kindle

Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations. Provides insights on the development of new mathematical models of power system optimization Analyzes power systems comprehensively to create novel mathematic models and algorithms for issues related to the planning operation of power systems Includes research on the optimization of power systems and related practical research projects carried out since 1981

• Author : Mingtian Fan,Zuping Zhang,Chengmin Wang
• Publisher : Academic Press
• Release Date : 2019-08-08
• Total pages : 450
• ISBN : 9780128132326
• File Size : 55,7 Mb
• Total Download : 140
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Download Mathematical Models and Algorithms for Power System Optimization in PDF, Epub, and Kindle

Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world’s largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations. Provides insights on the development of new mathematical models of power system optimization Analyzes power systems comprehensively to create novel mathematic models and algorithms for issues related to the planning operation of power systems Includes research on the optimization of power systems and related practical research projects carried out since 1981

• Author : Simone Göttlich,Michael Herty,Anja Milde
• Publisher : Springer Nature
• Release Date : 2021-02-02
• Total pages : 333
• ISBN : 9783030627324
• File Size : 40,9 Mb
• Total Download : 412
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Download Mathematical Modeling, Simulation and Optimization for Power Engineering and Management in PDF, Epub, and Kindle

This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on innovative methods and algorithms. Advances in mathematical techniques and scientific computing methods are presented centering around economic aspects, technical realization and large-scale networks. Over twenty authors focus on the mathematical modeling of such future systems with careful analysis of desired properties and arising scales. Numerical investigations include efficient methods for the simulation of possibly large-scale interconnected energy systems and modern techniques for optimization purposes to guarantee stable and reliable future operations. The target audience comprises research scientists, researchers in the R&D field, and practitioners. Since the book highlights possible future research directions, graduate students in the field of mathematical modeling or electrical engineering may also benefit strongly.

• Author : Joshua Adam Taylor
• Publisher : Cambridge University Press
• Release Date : 2015-02-12
• Total pages : 213
• ISBN : 9781107076877
• File Size : 48,8 Mb
• Total Download : 747
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Download Convex Optimization of Power Systems in PDF, Epub, and Kindle

A mathematically rigorous guide to convex optimization for power systems engineering.

• Author : Alla G. Kravets,Alexander A. Bolshakov,Maxim Shcherbakov
• Publisher : Springer Nature
• Release Date : 2022-03-29
• Total pages : 279
• ISBN : 9783030951160
• File Size : 40,5 Mb
• Total Download : 428
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Download Cyber-Physical Systems: Intelligent Models and Algorithms in PDF, Epub, and Kindle

This book is devoted to intelligent models and algorithms as the core components of cyber-physical systems. The complexity of cyber-physical systems developing and deploying requires new approaches to its modelling and design. Presents results in the field of modelling technologies that leverage the exploitation of artificial intelligence, including artificial general intelligence (AGI) and weak artificial intelligence. Provides scientific, practical, and methodological approaches based on bio-inspired methods, fuzzy models and algorithms, predictive modelling, computer vision and image processing. The target audience of the book are practitioners, enterprises representatives, scientists, PhD and Master students who perform scientific research or applications of intelligent models and algorithms in cyber-physical systems for various domains.

• Author : Mahmoud Pesaran Hajiabbas,Behnam Mohammadi-Ivatloo
• Publisher : Springer Nature
• Release Date : 2020-01-06
• Total pages : 382
• ISBN : 9783030340506
• File Size : 9,8 Mb
• Total Download : 475
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Download Optimization of Power System Problems in PDF, Epub, and Kindle

This book presents integrated optimization methods and algorithms for power system problems along with their codes in MATLAB. Providing a reliable and secure power and energy system is one of the main challenges of the new era. Due to the nonlinear multi-objective nature of these problems, the traditional methods are not suitable approaches for solving large-scale power system operation dilemmas. The integration of optimization algorithms into power systems has been discussed in several textbooks, but this is the first to include the integration methods and the developed codes. As such, it is a useful resource for undergraduate and graduate students, researchers and engineers trying to solve power and energy optimization problems using modern technical and intelligent systems based on theory and application case studies. It is expected that readers have a basic mathematical background.

• Author : Mohammad Kiani-Moghaddam,Mojtaba Shivaie,Philip D. Weinsier
• Publisher : Springer
• Release Date : 2019-05-21
• Total pages : 727
• ISBN : 9783030120443
• File Size : 44,6 Mb
• Total Download : 828
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Download Modern Music-Inspired Optimization Algorithms for Electric Power Systems in PDF, Epub, and Kindle

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.

• Author : Yong-Hua Song
• Publisher : Springer Science & Business Media
• Release Date : 2013-03-14
• Total pages : 275
• ISBN : 9789401591898
• File Size : 38,8 Mb
• Total Download : 490
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Download Modern Optimisation Techniques in Power Systems in PDF, Epub, and Kindle

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.

• Author : Rozaida Ghazali,Nazri Mohd Nawi,Mustafa Mat Deris,Jemal H. Abawajy,Nureize Arbaiy
• Publisher : Springer Nature
• Release Date : 2022-05-03
• Total pages : 402
• ISBN : 9783031008283
• File Size : 29,6 Mb
• Total Download : 861
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Download Recent Advances in Soft Computing and Data Mining in PDF, Epub, and Kindle

This book unfolds ways to transform data into innovative solutions perceived as new remarkable and meaningful value. It offers practical views of the concepts and techniques readers need to get the most out of their large-scale research and data mining projects. It strides them through the data-analytical thinking, circumvents the difficulty in deciphering complex data systems and obtaining commercialization value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad spectrum, an interdisciplinary field of scientific methods and processes. The book, Recent Advances in Soft Computing and Data Mining, delivers sufficient knowledge to tackle a wide range of issues seen in complex systems. This is done by exploring a vast combination of practices and applications by incorporating these two domains. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must choose the best design to approach the problem with the most efficient tools and techniques. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must understand the design choice and options of these approaches, thus to better appreciate the concepts, tools, and techniques used.

• Author : Ramteen Sioshansi,Antonio J. Conejo
• Publisher : Springer
• Release Date : 2017-06-24
• Total pages : 412
• ISBN : 9783319567693
• File Size : 9,5 Mb
• Total Download : 873
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Download Optimization in Engineering in PDF, Epub, and Kindle

This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the power of optimization and the potential difficulties in applying optimization to modeling real-world systems. The book is intended for undergraduate and graduate-level teaching in industrial engineering and other engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.

• Author : Haoyong Chen,Honwing Ngan,Yongjun Zhang
• Publisher : John Wiley & Sons
• Release Date : 2017-03-15
• Total pages : 392
• ISBN : 9781118724781
• File Size : 20,9 Mb
• Total Download : 683
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Download Power System Optimization in PDF, Epub, and Kindle

An original look from a microeconomic perspective for power system optimization and its application to electricity markets Presents a new and systematic viewpoint for power system optimization inspired by microeconomics and game theory A timely and important advanced reference with the fast growth of smart grids Professor Chen is a pioneer of applying experimental economics to the electricity market trading mechanism, and this work brings together the latest research A companion website is available Edit

• Author : Alireza Soroudi
• Publisher : Springer
• Release Date : 2017-08-29
• Total pages : 295
• ISBN : 9783319623504
• File Size : 12,8 Mb
• Total Download : 876
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Download Power System Optimization Modeling in GAMS in PDF, Epub, and Kindle

This unique book describes how the General Algebraic Modeling System (GAMS) can be used to solve various power system operation and planning optimization problems. This book is the first of its kind to provide readers with a comprehensive reference that includes the solution codes for basic/advanced power system optimization problems in GAMS, a computationally efficient tool for analyzing optimization problems in power and energy systems. The book covers theoretical background as well as the application examples and test case studies. It is a suitable reference for dedicated and general audiences including power system professionals as well as researchers and developers from the energy sector and electrical power engineering community and will be helpful to undergraduate and graduate students.

• Author : Juan Miguel Lujano Rojas,Rodolfo Dufo Lopez,Jose Antonio Dominguez Navarro
• Publisher : Elsevier
• Release Date : 2022-09-28
• Total pages : 352
• ISBN : 9780128242063
• File Size : 25,9 Mb
• Total Download : 818
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Download Genetic Optimization Techniques for Sizing and Management of Modern Power Systems in PDF, Epub, and Kindle

Genetic Optimization Techniques for Sizing and Management of Modern Power Systems explores the design and management of energy systems using a genetic algorithm as the primary optimization technique. Coverage ranges across topics related to resource estimation and energy systems simulation. Chapters address the integration of distributed generation, the management of electric vehicle charging, and microgrid dimensioning for resilience enhancement with detailed discussion and solutions using parallel genetic algorithms. The work is suitable for researchers and practitioners working in power systems optimization requiring information for systems planning purposes, seeking knowledge on mathematical models available for simulation and assessment, and relevant applications in energy policy. Presents a range of essential techniques for the use of genetic algorithms in power system analysis, complete with relevant computational tools and advice on implementation Addresses optimization techniques for scenarios including distributed generation, battery energy storage systems, demand response, and charging of electric vehicles Discusses policy applications of optimization techniques, including rural electrification as well as the integration of distributed generation in urban areas Accompanied with MATLAB coding for modeling and simulation implementations

• Author : Nnamdi Nwulu,Saheed Lekan Gbadamosi
• Publisher : Springer Nature
• Release Date : 2021-01-04
• Total pages : 254
• ISBN : 9783030003951
• File Size : 17,6 Mb
• Total Download : 268
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Download Optimal Operation and Control of Power Systems Using an Algebraic Modelling Language in PDF, Epub, and Kindle

This book presents mathematical models of demand-side management programs, together with operational and control problems for power and renewable energy systems. It reflects the need for optimal operation and control of today’s electricity grid at both the supply and demand spectrum of the grid. This need is further compounded by the advent of smart grids, which has led to increased customer/consumer participation in power and renewable energy system operations. The book begins by giving an overview of power and renewable energy systems, demand-side management programs and algebraic modeling languages. The overview includes detailed consideration of appliance scheduling algorithms, price elasticity matrices and demand response incentives. Furthermore, the book presents various power system operational and control mathematical formulations, incorporating demand-side management programs. The mathematical formulations developed are modeled and solved using the Advanced Interactive Multidimensional Modeling System (AIMMS) software, which offers a powerful yet simple algebraic modeling language for solving optimization problems. The book is extremely useful for all power system operators and planners who are concerned with optimal operational procedures for managing today’s complex grids, a context in which customers are active participants and can curb/control their demand. The book details how AIMMS can be a useful tool in optimizing power grids and also offers a valuable research aid for students and academics alike.

• Author : Vivek K. Patel,Vimal J. Savsani,Mohamed A. Tawhid
• Publisher : Springer
• Release Date : 2019-02-14
• Total pages : 477
• ISBN : 9783030104771
• File Size : 19,8 Mb
• Total Download : 934
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Download Thermal System Optimization in PDF, Epub, and Kindle

This book presents a wide-ranging review of the latest research and development directions in thermal systems optimization using population-based metaheuristic methods. It helps readers to identify the best methods for their own systems, providing details of mathematical models and algorithms suitable for implementation. To reduce mathematical complexity, the authors focus on optimization of individual components rather than taking on systems as a whole. They employ numerous case studies: heat exchangers; cooling towers; power generators; refrigeration systems; and others. The importance of these subsystems to real-world situations from internal combustion to air-conditioning is made clear. The thermal systems under discussion are analysed using various metaheuristic techniques, with comparative results for different systems. The inclusion of detailed MATLAB® codes in the text will assist readers—researchers, practitioners or students—to assess these techniques for different real-world systems. Thermal System Optimization is a useful tool for thermal design researchers and engineers in academia and industry, wishing to perform thermal system identification with properly optimized parameters. It will be of interest for researchers, practitioners and graduate students with backgrounds in mechanical, chemical and power engineering.

• Author : Taufik Abrão
• Publisher : BoD – Books on Demand
• Release Date : 2013-02-13
• Total pages : 296
• ISBN : 9789535109839
• File Size : 49,6 Mb
• Total Download : 328
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Download Search Algorithms for Engineering Optimization in PDF, Epub, and Kindle

Heuristic Search is an important sub-discipline of optimization theory and finds applications in a vast variety of fields, including life science and engineering. Search methods have been useful in solving tough engineering-oriented problems that either could not be solved any other way or solutions take a very long time to be computed. This book explores a variety of applications for search methods and techniques in different fields of electrical engineering. By organizing relevant results and applications, this book will serve as a useful resource for students, researchers and practitioners to further exploit the potential of search methods in solving hard optimization problems that arise in advanced engineering technologies, such as image and video processing issues, detection and resource allocation in telecommunication systems, security and harmonic reduction in power generation systems, as well as redundancy optimization problem and search-fuzzy learning mechanisms in industrial applications.

• Author : Venkata Rao Ravipudi,Hameer Singh Keesari
• Publisher : Springer Nature
• Release Date : 2022-03-01
• Total pages : 395
• ISBN : 9783030955892
• File Size : 45,8 Mb
• Total Download : 436
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Download Design Optimization of Renewable Energy Systems Using Advanced Optimization Algorithms in PDF, Epub, and Kindle

This book describes applications of Jaya and Rao algorithms on real case studies concerning different renewable energy sources. In the last few decades, researchers have focused on renewable energy resources like solar energy, bio-energy, wave energy, ocean thermal energy, tidal energy, geothermal energy, and wind energy. This has resulted in the development of new techniques and tools that could harvest energy from renewable energy sources. Many researchers and scientists have focused on developing and optimizing the energy systems to extract and utilize renewable energy more efficiently. In this book, recently developed Jaya and Rao (Rao-1, Rao-2, and Rao-3) algorithms are introduced for single- and multi-objective optimization of selected renewable energy systems. The results of applications of the different versions of Jaya and Rao algorithms are compared with the other optimization techniques like GA, NSGA-II, PSO, MOPSO, ABC, etc., and the performance of the Jaya and Rao algorithms is highlighted compared to other optimization algorithms in the case of renewable energy systems. The book also includes the validation of different versions of the Jaya and Rao algorithms through the application to complex single- and multi-objective unconstrained benchmark functions. The algorithms and computer codes of different version of Jaya and Rao algorithms are included in the book that will be very much useful to readers in industry and academic research.

• Author : Hayato Ohwada,Kenichi Yoshida
• Publisher : Springer
• Release Date : 2016-08-08
• Total pages : 281
• ISBN : 9783319427065
• File Size : 24,6 Mb
• Total Download : 441
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Download Knowledge Management and Acquisition for Intelligent Systems in PDF, Epub, and Kindle

This book constitutes the proceedings of the 14th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2016, held in Phuket, Thailand, in August 2016. The 16 full papers and 5 short papers included in this volume were carefully reviewed and selected from 61 initial submissions. They deal with knowledge acquisition and machine learning; knowledge acquisition and natural language processing; knowledge acquisition from network and big data; and knowledge acquisition and applications.

• Author : Anonim
• Publisher : Unknown
• Release Date : 1969
• Total pages : 498
• ISBN : UOM:39015007488888
• File Size : 9,5 Mb
• Total Download : 286
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Download A Selected Annotated Bibliography on the Analysis of Water Resource Systems in PDF, Epub, and Kindle

PDF book entitled A Selected Annotated Bibliography on the Analysis of Water Resource Systems written by Anonim and published by Unknown which was released on 1969 with total hardcover pages 498, the book become popular and critical acclaim.

• Author : Zongxiang Lu,Shuangxi Zhou
• Publisher : John Wiley & Sons
• Release Date : 2018-07-18
• Total pages : 488
• ISBN : 9781118910009
• File Size : 13,6 Mb
• Total Download : 942
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Download Integration of Large Scale Wind Energy with Electrical Power Systems in China in PDF, Epub, and Kindle

An in-depth examination of large scale wind projects and electricity production in China Presents the challenges of electrical power system planning, design, operation and control carried out by large scale wind power, from the Chinese perspective Focuses on the integration issue of large scale wind power to the bulk power system, probing the interaction between wind power and bulk power systems Wind power development is a burgeoning area of study in developing countries, with much interest in offshore wind farms and several big projects under development English translation of the Chinese language original which won the "Fourth China Outstanding Publication Award nomination" in March 2013

• Author : Mark S. Daskin
• Publisher : John Wiley & Sons
• Release Date : 2011-02-14
• Total pages : 519
• ISBN : 9781118030738
• File Size : 22,7 Mb
• Total Download : 884
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Download Network and Discrete Location in PDF, Epub, and Kindle

The comprehensive introduction to the art and science of locating facilities to make your organization more efficient, effective, and profitable. For the professional siting facilities, the task of translating organizational goals and objectives into concrete facilities requires a working familiarity with the theoretical and practical fundamentals of facility location planning and modeling. The first hands-on guide to using and developing facility location models, Network and Discrete Location offers a practiceoriented introduction to model-building methods and solution algorithms, complete with software to solve classical problems of realistic size and end-of-chapter exercises to enhance the reader's understanding. The text introduces the reader to the key classical location problems (covering, center, median, and fixed charge) which form the nucleus of facility location modeling. It also discusses real-life extensions of the basic models used in locating: production and distribution facilities, interacting services and facilities, and undesirable facilities. The book outlines a host of methodological tools for solving location models and provides insights into when each approach is useful and what information it provides. Designed to give readers a working familiarity with the basic facility location model types as well as an intuitive knowledge of the uses and limits of modeling techniques, Network and Discrete Location brings students and professionals alike swiftly from basic theory to technical fluency.