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Applications of Modern Heuristic Optimization Methods in Power and Energy Systems

Applications of Modern Heuristic Optimization Methods in Power and Energy Systems
Author: Kwang Y. Lee
Publisher: John Wiley & Sons
Total Pages: 896
Release: 2020-04-14
Genre: Science
ISBN: 1119602297

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Reviews state-of-the-art technologies in modern heuristic optimization techniques and presents case studies showing how they have been applied in complex power and energy systems problems Written by a team of international experts, this book describes the use of metaheuristic applications in the analysis and design of electric power systems. This includes a discussion of optimum energy and commitment of generation (nonrenewable & renewable) and load resources during day-to-day operations and control activities in regulated and competitive market structures, along with transmission and distribution systems. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems begins with an introduction and overview of applications in power and energy systems before moving on to planning and operation, control, and distribution. Further chapters cover the integration of renewable energy and the smart grid and electricity markets. The book finishes with final conclusions drawn by the editors. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems: Explains the application of differential evolution in electric power systems' active power multi-objective optimal dispatch Includes studies of optimization and stability in load frequency control in modern power systems Describes optimal compliance of reactive power requirements in near-shore wind power plants Features contributions from noted experts in the field Ideal for power and energy systems designers, planners, operators, and consultants, Applications of Modern Heuristic Optimization Methods in Power and Energy Systems will also benefit engineers, software developers, researchers, academics, and students.


Modern Heuristic Optimization Techniques

Modern Heuristic Optimization Techniques
Author: Kwang Y. Lee
Publisher: John Wiley & Sons
Total Pages: 616
Release: 2008-01-28
Genre: Technology & Engineering
ISBN: 0470225858

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This book explores how developing solutions with heuristic tools offers two major advantages: shortened development time and more robust systems. It begins with an overview of modern heuristic techniques and goes on to cover specific applications of heuristic approaches to power system problems, such as security assessment, optimal power flow, power system scheduling and operational planning, power generation expansion planning, reactive power planning, transmission and distribution planning, network reconfiguration, power system control, and hybrid systems of heuristic methods.


Classical and Recent Aspects of Power System Optimization

Classical and Recent Aspects of Power System Optimization
Author: Ahmed F. F. Zobaa
Publisher: Academic Press
Total Pages: 586
Release: 2018-06-29
Genre: Technology & Engineering
ISBN: 0128124423

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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


Optimization in the Energy Industry

Optimization in the Energy Industry
Author: Josef Kallrath
Publisher: Springer Science & Business Media
Total Pages: 537
Release: 2008-12-25
Genre: Mathematics
ISBN: 3540889655

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This book offers a broad, in-depth overview that reflects the requirements, possibilities and limits of mathematical optimization and, especially, stochastic optimization in the energy industry.


Optimization of Power System Operation

Optimization of Power System Operation
Author: Jizhong Zhu
Publisher: John Wiley & Sons
Total Pages: 750
Release: 2016-12-08
Genre: Technology & Engineering
ISBN: 1118993365

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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


Metaheuristic Optimization in Power Engineering

Metaheuristic Optimization in Power Engineering
Author: Professor Jordan Radosavljevic
Publisher:
Total Pages: 0
Release: 2024-11
Genre: Technology & Engineering
ISBN: 9781837241378

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A new edition in two volumes of the systematic and comprehensive reference on metaheuristic methods for power systems with distributed renewables, which offers MATLAB-based software, with revised and new chapters.


Modern Optimization Techniques with Applications in Electric Power Systems

Modern Optimization Techniques with Applications in Electric Power Systems
Author: Soliman Abdel-Hady Soliman
Publisher: Springer
Total Pages: 414
Release: 2014-03-03
Genre: Mathematics
ISBN: 9781489989796

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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. ​


Optimization of Power System Problems

Optimization of Power System Problems
Author: Mahmoud Pesaran Hajiabbas
Publisher: Springer Nature
Total Pages: 386
Release: 2020-01-06
Genre: Technology & Engineering
ISBN: 3030340503

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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.


Optimization Methods Applied to Power Systems

Optimization Methods Applied to Power Systems
Author: Francisco G. Montoya
Publisher: MDPI
Total Pages: 382
Release: 2019-07-26
Genre: Technology & Engineering
ISBN: 3039211307

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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.


Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance

Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance
Author: Vasant, Pandian M.
Publisher: IGI Global
Total Pages: 735
Release: 2012-09-30
Genre: Computers
ISBN: 1466620870

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Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.