Nature Inspired Optimization For Electrical Power System PDF Download
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Author | : Manjaree Pandit |
Publisher | : Springer Nature |
Total Pages | : 129 |
Release | : 2020-04-07 |
Genre | : Technology & Engineering |
ISBN | : 9811540047 |
Download Nature Inspired Optimization for Electrical Power System Book in PDF, ePub and Kindle
This book presents a wide range of optimization methods and their applications to various electrical power system problems such as economical load dispatch, demand supply management in microgrids, levelized energy pricing, load frequency control and congestion management, and reactive power management in radial distribution systems. Problems related to electrical power systems are often highly complex due to the massive dimensions, nonlinearity, non-convexity and discontinuity associated with objective functions. These systems also have a large number of equality and inequality constraints, which give rise to optimization problems that are difficult to solve using classical numerical methods. In this regard, nature inspired optimization algorithms offer an effective alternative, due to their ease of use, population-based parallel search mechanism, non-dependence on the nature of the problem, and ability to accommodate non-differentiable, non-convex problems. The analytical model of nature inspired techniques mimics the natural behaviors and intelligence of life forms. These techniques are mainly based on evolution, swarm intelligence, ecology, human intelligence and physical science.
Author | : Mellal, Mohamed Arezki |
Publisher | : IGI Global |
Total Pages | : 326 |
Release | : 2021-12-17 |
Genre | : Technology & Engineering |
ISBN | : 1799885631 |
Download Applications of Nature-Inspired Computing in Renewable Energy Systems Book in PDF, ePub and Kindle
Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems. Applications of Nature-Inspired Computing in Renewable Energy Systems discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.
Author | : Xin-She Yang |
Publisher | : Elsevier |
Total Pages | : 277 |
Release | : 2014-02-17 |
Genre | : Computers |
ISBN | : 0124167454 |
Download Nature-Inspired Optimization Algorithms Book in PDF, ePub and Kindle
Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature Provides a theoretical understanding as well as practical implementation hints Provides a step-by-step introduction to each algorithm
Author | : Ganesh M. Kakandikar |
Publisher | : CRC Press |
Total Pages | : 279 |
Release | : 2020-12-08 |
Genre | : Technology & Engineering |
ISBN | : 1000258386 |
Download Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems Book in PDF, ePub and Kindle
The manufacturing system is going through substantial changes and developments in light of Industry 4.0. Newer manufacturing technologies are being developed and applied. There is a need to optimize these techniques when applied in different circumstances with respect to materials, tools, product configurations, and process parameters. This book covers computational intelligence applied to manufacturing. It discusses nature-inspired optimization of processes and their design and development in manufacturing systems. It explores all manufacturing processes, at both macro and micro levels, and offers manufacturing philosophies. Nonconventional manufacturing, real industry problems and case studies, research on generative processes, and relevance of all this to Industry 4.0 is also included. Researchers, students, academicians, and industry professionals will find this reference title very useful.
Author | : Fouad Bennis |
Publisher | : Springer Nature |
Total Pages | : 503 |
Release | : 2020-01-17 |
Genre | : Business & Economics |
ISBN | : 3030264580 |
Download Nature-Inspired Methods for Metaheuristics Optimization Book in PDF, ePub and Kindle
This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.
Author | : Mahdi Khosravy |
Publisher | : Springer Nature |
Total Pages | : 389 |
Release | : 2020-03-11 |
Genre | : Technology & Engineering |
ISBN | : 9811521336 |
Download Frontier Applications of Nature Inspired Computation Book in PDF, ePub and Kindle
This book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of microgrids, PID controllers for two-legged robots, optimizing crane operating times, planning electrical energy distribution systems, automatic design and evaluation of classification pipelines, and optimizing wind-energy power generation plants. The book also presents a variety of nature-inspired methods and illustrates methods of adapting these to said applications. Nature-inspired computation, developed by mimicking natural phenomena, makes a significant contribution toward the solution of non-convex optimization problems that normal mathematical optimizers fail to solve. As such, a wide range of nature-inspired computing approaches has been used in multidisciplinary engineering applications. Written by researchers and developers from a variety of fields, this book presents the latest findings, novel techniques and pioneering applications.
Author | : Ahmed F. F. Zobaa |
Publisher | : Academic Press |
Total Pages | : 586 |
Release | : 2018-06-29 |
Genre | : Technology & Engineering |
ISBN | : 0128124423 |
Download Classical and Recent Aspects of Power System Optimization Book in PDF, ePub and Kindle
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
Author | : Javier Del Ser Lorente |
Publisher | : BoD – Books on Demand |
Total Pages | : 71 |
Release | : 2018-07-18 |
Genre | : Mathematics |
ISBN | : 1789233283 |
Download Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization Book in PDF, ePub and Kindle
Nature-inspired algorithms have a great popularity in the current scientific community, being the focused scope of many research contributions in the literature year by year. The rationale behind the acquired momentum by this broad family of methods lies on their outstanding performance evinced in hundreds of research fields and problem instances. This book gravitates on the development of nature-inspired methods and their application to stochastic, dynamic and robust optimization. Topics covered by this book include the design and development of evolutionary algorithms, bio-inspired metaheuristics, or memetic methods, with empirical, innovative findings when used in different subfields of mathematical optimization, such as stochastic, dynamic, multimodal and robust optimization, as well as noisy optimization and dynamic and constraint satisfaction problems.
Author | : Xin-She Yang |
Publisher | : Luniver Press |
Total Pages | : 148 |
Release | : 2010 |
Genre | : Computers |
ISBN | : 1905986289 |
Download Nature-inspired Metaheuristic Algorithms Book in PDF, ePub and Kindle
Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization, harmony search, and firefly algorithms. We also briefly introduce the photosynthetic algorithm, the enzyme algorithm, and Tabu search. Worked examples with implementation have been used to show how each algorithm works. This book is thus an ideal textbook for an undergraduate and/or graduate course. As some of the algorithms such as the harmony search and firefly algorithms are at the forefront of current research, this book can also serve as a reference book for researchers.
Author | : Ali Wagdy Mohamed |
Publisher | : Springer Nature |
Total Pages | : 220 |
Release | : 2022-09-03 |
Genre | : Technology & Engineering |
ISBN | : 3031075161 |
Download Handbook of Nature-Inspired Optimization Algorithms: The State of the Art Book in PDF, ePub and Kindle
This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the optimization problems involve different types of constraints. These problems are called constrained optimization problems (COPs). The optimization of the constrained optimization problems is considered a challenging task since the optimum solution(s) must be feasible. In their original design, evolutionary algorithms (EAs) are able to solve unconstrained optimization problems effectively. As a result, in the past decade, many researchers have developed a variety of constraint handling techniques, incorporated into (EAs) designs, to counter this deficiency. The main objective for this book is to make available a self-contained collection of modern research addressing the general constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.