Mathematical Models And Algorithms For Power System Optimization

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Mathematical Models and Algorithms for Power System Optimization

Author : Mingtian Fan
Publisher : Academic Press
ISBN 13 : 0128132310
Total Pages : 450 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Mathematical Models and Algorithms for Power System Optimization by : Mingtian Fan

Download or read book Mathematical Models and Algorithms for Power System Optimization written by Mingtian Fan and published by Academic Press. This book was released on 2019-08-23 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Mathematical Models and Algorithms for Power System Optimization

Author : Mingtian Fan
Publisher : Academic Press
ISBN 13 : 0128132329
Total Pages : 450 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Mathematical Models and Algorithms for Power System Optimization by : Mingtian Fan

Download or read book Mathematical Models and Algorithms for Power System Optimization written by Mingtian Fan and published by Academic Press. This book was released on 2019-08-08 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Optimization of Power System Problems

Author : Mahmoud Pesaran Hajiabbas
Publisher : Springer Nature
ISBN 13 : 3030340503
Total Pages : 386 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Optimization of Power System Problems by : Mahmoud Pesaran Hajiabbas

Download or read book Optimization of Power System Problems written by Mahmoud Pesaran Hajiabbas and published by Springer Nature. This book was released on 2020-01-06 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Mathematical Modeling, Simulation and Optimization for Power Engineering and Management

Author : Simone Göttlich
Publisher : Springer Nature
ISBN 13 : 3030627322
Total Pages : 333 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Mathematical Modeling, Simulation and Optimization for Power Engineering and Management by : Simone Göttlich

Download or read book Mathematical Modeling, Simulation and Optimization for Power Engineering and Management written by Simone Göttlich and published by Springer Nature. This book was released on 2021-02-02 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Energy System Optimization

Author : Valentin Bertsch
Publisher : Springer Nature
ISBN 13 : 3030321576
Total Pages : 179 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Advances in Energy System Optimization by : Valentin Bertsch

Download or read book Advances in Energy System Optimization written by Valentin Bertsch and published by Springer Nature. This book was released on 2019-01-01 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers presented in this open access book address diverse challenges in decarbonizing energy systems, ranging from operational to investment planning problems, from market economics to technical and environmental considerations, from distribution grids to transmission grids, and from theoretical considerations to data provision concerns and applied case studies. While most papers have a clear methodological focus, they address policy-relevant questions at the same time. The target audience therefore includes academics and experts in industry as well as policy makers, who are interested in state-of-the-art quantitative modelling of policy relevant problems in energy systems. The 2nd International Symposium on Energy System Optimization (ISESO 2018) was held at the Karlsruhe Institute of Technology (KIT) under the symposium theme "Bridging the Gap Between Mathematical Modelling and Policy Support" on October 10th and 11th 2018. ISESO 2018 was organized by the KIT, the Heidelberg Institute for Theoretical Studies (HITS), the Heidelberg University, the German Aerospace Center and the University of Stuttgart.

Modern Music-Inspired Optimization Algorithms for Electric Power Systems

Author : Mohammad Kiani-Moghaddam
Publisher : Springer
ISBN 13 : 3030120449
Total Pages : 727 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Modern Music-Inspired Optimization Algorithms for Electric Power Systems by : Mohammad Kiani-Moghaddam

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.

Power System Optimization Modeling in GAMS

Author : Alireza Soroudi
Publisher : Springer
ISBN 13 : 3319623508
Total Pages : 295 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Power System Optimization Modeling in GAMS by : Alireza Soroudi

Download or read book Power System Optimization Modeling in GAMS written by Alireza Soroudi and published by Springer. This book was released on 2017-08-29 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Optimal Operation and Control of Power Systems Using an Algebraic Modelling Language

Author : Nnamdi Nwulu
Publisher : Springer Nature
ISBN 13 : 3030003957
Total Pages : 264 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Optimal Operation and Control of Power Systems Using an Algebraic Modelling Language by : Nnamdi Nwulu

Download or read book Optimal Operation and Control of Power Systems Using an Algebraic Modelling Language written by Nnamdi Nwulu and published by Springer Nature. This book was released on 2021-01-04 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Optimization of Power System Operation

Author : Jizhong Zhu
Publisher : John Wiley & Sons
ISBN 13 : 1118993365
Total Pages : 664 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Optimization of Power System Operation by : Jizhong Zhu

Download or read book Optimization of Power System Operation written by Jizhong Zhu and published by John Wiley & Sons. This book was released on 2016-12-08 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization of Power System Operation, 2nd Edition, offers a practical, hands-on guide to theoretical developments and to the application of advanced optimization methods to realistic electric power engineering problems. The book includes: New chapter on Application of Renewable Energy, and a new chapter on Operation of Smart Grid New topics include wheeling model, multi-area wheeling, and the total transfer capability computation in multiple areas Continues to provide engineers and academics with a complete picture of the optimization of techniques used in modern power system operation

Mathematical Modeling, Simulation and Optimization for Power Engineering and Management

Author : Simone Göttlich
Publisher :
ISBN 13 : 9783030627331
Total Pages : 0 pages
Book Rating : 4.6/5 (273 download)

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Book Synopsis Mathematical Modeling, Simulation and Optimization for Power Engineering and Management by : Simone Göttlich

Download or read book Mathematical Modeling, Simulation and Optimization for Power Engineering and Management written by Simone Göttlich and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. .

Applied Mathematics for Restructured Electric Power Systems

Author : Joe H. Chow
Publisher : Springer Science & Business Media
ISBN 13 : 0387234713
Total Pages : 345 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Applied Mathematics for Restructured Electric Power Systems by : Joe H. Chow

Download or read book Applied Mathematics for Restructured Electric Power Systems written by Joe H. Chow and published by Springer Science & Business Media. This book was released on 2006-06-03 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction. This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.

Classical and Recent Aspects of Power System Optimization

Author : Ahmed F. F. Zobaa
Publisher : Academic Press
ISBN 13 : 0128124423
Total Pages : 586 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Classical and Recent Aspects of Power System Optimization by : Ahmed F. F. Zobaa

Download or read book Classical and Recent Aspects of Power System Optimization written by Ahmed F. F. Zobaa and published by Academic Press. This book was released on 2018-06-29 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classical and Recent Aspects of Power System Optimization presents conventional and meta-heuristic optimization methods and algorithms for power system studies. The classic aspects of optimization in power systems, such as optimal power flow, economic dispatch, unit commitment and power quality optimization are covered, as are issues relating to distributed generation sizing, allocation problems, scheduling of renewable resources, energy storage, power reserve based problems, efficient use of smart grid capabilities, and protection studies in modern power systems. The book brings together innovative research outcomes, programs, algorithms and approaches that consolidate the present state and future challenges for power. Analyzes and compares several aspects of optimization for power systems which has never been addressed in one reference Details real-life industry application examples for each chapter (e.g. energy storage and power reserve problems) Provides practical training on theoretical developments and application of advanced methods for optimum electrical energy for realistic engineering problems

Modern Power Systems Analysis

Author : Xi-Fan Wang
Publisher : Springer Science & Business Media
ISBN 13 : 0387728538
Total Pages : 561 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Modern Power Systems Analysis by : Xi-Fan Wang

Download or read book Modern Power Systems Analysis written by Xi-Fan Wang and published by Springer Science & Business Media. This book was released on 2010-06-07 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: The capability of effectively analyzing complex systems is fundamental to the operation, management and planning of power systems. This book offers broad coverage of essential power system concepts and features a complete and in-depth account of all the latest developments, including Power Flow Analysis in Market Environment; Power Flow Calculation of AC/DC Interconnected Systems and Power Flow Control and Calculation for Systems Having FACTS Devices and recent results in system stability.

Modeling and Optimization of Interdependent Energy Infrastructures

Author : Wei Wei
Publisher : Springer Nature
ISBN 13 : 3030259587
Total Pages : 709 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Modeling and Optimization of Interdependent Energy Infrastructures by : Wei Wei

Download or read book Modeling and Optimization of Interdependent Energy Infrastructures written by Wei Wei and published by Springer Nature. This book was released on 2019-10-22 with total page 709 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from the electricity network, natural gas network, district heating network, and electrified transportation network. The authors provide methods to help analyze, design, and operate the integrated energy system more efficiently and reliably, and constitute a foundational basis for decision support tools for the next-generation energy network. Chapters present new operation models of the coupled energy infrastructure and the application of new methodologies including convex optimization, robust optimization, and equilibrium constrained optimization. Four appendices provide students and researchers with helpful tutorials on advanced optimization methods: Basics of Linear and Conic Programs; Formulation Tricks in Integer Programming; Basics of Robust Optimization; Equilibrium Problems. This book provides theoretical foundation and technical applications for energy system integration, and the the interdisciplinary research presented will be useful to readers in many fields including electrical engineering, civil engineering, and industrial engineering.

Mathematical Programming for Power Systems Operation

Author : Alejandro Garcés
Publisher : John Wiley & Sons
ISBN 13 : 1119747287
Total Pages : 293 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Mathematical Programming for Power Systems Operation by : Alejandro Garcés

Download or read book Mathematical Programming for Power Systems Operation written by Alejandro Garcés and published by John Wiley & Sons. This book was released on 2021-12-01 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the theoretical foundations and real-world power system applications of convex programming In Mathematical Programming for Power System Operation with Applications in Python, Professor Alejandro Garces delivers a comprehensive overview of power system operations models with a focus on convex optimization models and their implementation in Python. Divided into two parts, the book begins with a theoretical analysis of convex optimization models before moving on to related applications in power systems operations. The author eschews concepts of topology and functional analysis found in more mathematically oriented books in favor of a more natural approach. Using this perspective, he presents recent applications of convex optimization in power system operations problems. Mathematical Programming for Power System Operation with Applications in Python uses Python and CVXPY as tools to solve power system optimization problems and includes models that can be solved with the presented framework. The book also includes: A thorough introduction to power system operation, including economic and environmental dispatch, optimal power flow, and hosting capacity Comprehensive explorations of the mathematical background of power system operation, including quadratic forms and norms and the basic theory of optimization Practical discussions of convex functions and convex sets, including affine and linear spaces, politopes, balls, and ellipsoids In-depth examinations of convex optimization, including global optimums, and first and second order conditions Perfect for undergraduate students with some knowledge in power systems analysis, generation, or distribution, Mathematical Programming for Power System Operation with Applications in Python is also an ideal resource for graduate students and engineers practicing in the area of power system optimization.

Cyber-Physical Systems: Intelligent Models and Algorithms

Author : Alla G. Kravets
Publisher : Springer Nature
ISBN 13 : 3030951162
Total Pages : 277 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Cyber-Physical Systems: Intelligent Models and Algorithms by : Alla G. Kravets

Download or read book Cyber-Physical Systems: Intelligent Models and Algorithms written by Alla G. Kravets and published by Springer Nature. This book was released on 2022-03-29 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Thermal System Optimization

Author : Vivek K. Patel
Publisher : Springer
ISBN 13 : 303010477X
Total Pages : 477 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Thermal System Optimization by : Vivek K. Patel

Download or read book Thermal System Optimization written by Vivek K. Patel and published by Springer. This book was released on 2019-02-14 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.