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Probability Concepts in Electric Power Systems

Probability Concepts in Electric Power Systems
Author: George J. Anders
Publisher: Wiley-Interscience
Total Pages: 714
Release: 1990-01-25
Genre: Technology & Engineering
ISBN:

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Modern Power System Analysis Turan Gönen The first book on electrical power systems to deal exclusively with the design, structure, and analysis of the transmission system itself. Serves as a self-study guide or as a classroom text and describes, step-by-step, all the tools and procedures needed to analyze today’s electrical power systems. It covers power system planning, steady-state performance of transmission lines, disturbance of the normal operating conditions and other problems, as well as symmetrical components and sequence impedances. The book also analyzes balanced and unbalanced faults, land flow, and system protection, detailing criteria for protective systems and several types of relays. 1988 (0 471-85903-6) 560 pp. Least-Cost Electric Utility Planning Harry G. Stoll Presents all the key elements and tools necessary to plan and operate efficient electric utility power systems. Its seven sections address: economics, finance, and regulation; industrial power economics; load demand and management; reliability of the generation system; cost of production in the generation system; capacity planning; and transmission planning. Each section addresses power system theory and principles and applies them to realistic utility examples. Results from solved examples are expanded to illustrate the sensitivity and direction of key parameters. 1989 (0 471-63614-2) 782 pp.


Probabilistic Methods Applied to Electric Power Systems

Probabilistic Methods Applied to Electric Power Systems
Author: Samy G. Krishnasamy
Publisher: Elsevier
Total Pages: 679
Release: 2013-10-22
Genre: Technology & Engineering
ISBN: 1483160742

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Probabilistic Methods Applied to Electric Power Systems contains the proceedings of the First International Symposium held in Toronto, Ontario, Canada, on July 11-13, 1986. The papers explore significant technical advances that have been made in the application of probability methods to the design of electric power systems. This volume is comprised of 65 chapters divided into 10 sections and begins by discussing the probabilistic methodologies used in the assessment of power system reliability and structural design. The following chapters focus on the applications of probabilistic techniques to the analysis and design of transmission systems and structures; evaluation of design and reliability of distribution systems; system planning; and assessment of performance of transmission system components such as insulators, tower joints, and foundations. The probability-based procedures for dealing with data bases such as wind load and ice load are also considered, along with the effects of weather-induced loads on overhead power lines and the use of probability methods in upgrading existing power lines and components. The final section deals with applications of probability methods to power system problems not covered in other chapters. This book will be of value to engineers involved in uprating, designing, analyzing, and assessing reliability of transmission and distribution systems.


Power Systems Control and Reliability

Power Systems Control and Reliability
Author: Isa S. Qamber
Publisher: CRC Press
Total Pages: 167
Release: 2020-03-13
Genre: Science
ISBN: 1000710823

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Focusing on power systems reliability and generating unit commitments, which are essential in the design and evaluation of the electric power systems for planning, control, and operation, this informative volume covers the concepts of basic reliability engineering, such as power system spinning reserve, types of load curves and their objectives and benefits, the electric power exchange, and the system operation constraints. The author explains how the probability theory plays an important role in reliability applications and discusses the probability applications in electric power systems that led to the development of the mathematical models that are illustrated in the book. The algorithms that are presented throughout the chapters will help researchers and engineers to implement their own suitable programs where needed and will also be valuable for students. The Artificial Neural Networks (ANN) and Fuzzy Logic (FL) systems are discussed and a number of load estimation models are built for some cases, where their formulas are developed. A number of developed models are presented, including the Kronecker techniques, Fourth-Order Runge-Kutta, System Multiplication Method, or Adams Method; and components with different connections and different distributions are presented. A number of examples are explained showing how to build and evaluate power plants.


Probabilistic Transmission System Planning

Probabilistic Transmission System Planning
Author: Wenyuan Li
Publisher: John Wiley & Sons
Total Pages: 276
Release: 2011-10-14
Genre: Technology & Engineering
ISBN: 0470934700

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The book is composed of 12 chapters and three appendices, and can be divided into four parts. The first part includes Chapters 2 to 7, which discuss the concepts, models, methods and data in probabilistic transmission planning. The second part, Chapters 8 to 11, addresses four essential issues in probabilistic transmission planning applications using actual utility systems as examples. Chapter 12, as the third part, focuses on a special issue, i.e. how to deal with uncertainty of data in probabilistic transmission planning. The fourth part consists of three appendices, which provide the basic knowledge in mathematics for probabilistic planning.


Reliability Assessment of Electric Power Systems Using Monte Carlo Methods

Reliability Assessment of Electric Power Systems Using Monte Carlo Methods
Author: Billinton
Publisher: Springer Science & Business Media
Total Pages: 361
Release: 2013-06-29
Genre: Technology & Engineering
ISBN: 1489913467

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The application of quantitative reliability evaluation in electric power sys tems has now evolved to the point at which most utilities use these techniques in one or more areas of their planning, design, and operation. Most of the techniques in use are based on analytical models and resulting analytical evaluation procedures. Improvements in and availability of high-speed digi tal computers have created the opportunity to analyze many of these prob lems using stochastic simulation methods and over the last decade there has been increased interest in and use made of Monte Carlo simulation in quantitative power system reliability assessment. Monte Carlo simulation is not a new concept and recorded applications have existed for at least 50 yr. However, localized high-speed computers with large-capacity storage have made Monte Carlo simulation an available and sometimes preferable option for many power system reliability applications. Monte Carlo simulation is also an integral part of a modern undergrad uate or graduate course on reliability evaluation of general engineering systems or specialized areas such as electric power systems. It is hoped that this textbook will help formalize the many existing applications of Monte Carlo simulation and assist in their integration in teaching programs. This book presents the basic concepts associated with Monte Carlo simulation.


Probabilistic Methods Applied to Electric Power Systems

Probabilistic Methods Applied to Electric Power Systems
Author: Samy G. Krishnasamy
Publisher: Elsevier Science & Technology
Total Pages: 666
Release: 1987-01-01
Genre: Technology & Engineering
ISBN:

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Very Good,No Highlights or Markup,all pages are intact.


Electric Power Grid Reliability Evaluation

Electric Power Grid Reliability Evaluation
Author: Chanan Singh
Publisher: John Wiley & Sons
Total Pages: 352
Release: 2018-11-13
Genre: Technology & Engineering
ISBN: 1119486289

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The groundbreaking book that details the fundamentals of reliability modeling and evaluation and introduces new and future technologies Electric Power Grid Reliability Evaluation deals with the effective evaluation of the electric power grid and explores the role that this process plays in the planning and designing of the expansion of the power grid. The book is a guide to the theoretical approaches and processes that underpin the electric power grid and reviews the most current and emerging technologies designed to ensure reliability. The authors—noted experts in the field—also present the algorithms that have been developed for analyzing the soundness of the power grid. A comprehensive resource, the book covers probability theory, stochastic processes, and a frequency-based approach in order to provide a theoretical foundation for reliability analysis. Throughout the book, the concepts presented are explained with illustrative examples that connect with power systems. The authors cover generation adequacy methods, and multi-node analysis which includes both multi-area as well as composite power system reliable evaluation. This important book: • Provides a guide to the basic methods of reliability modeling and evaluation • Contains a helpful review of the background of power system reliability evaluation • Includes information on new technology sources that have the potential to create a more reliable power grid • Addresses renewable energy sources and shows how they affect power outages and blackouts that pose new challenges to the power grid system Written for engineering students and professionals, Electric Power Grid Reliability Evaluation is an essential book that explores the processes and algorithms for creating a sound and reliable power grid.


Probability Concepts and Theory for Engineers

Probability Concepts and Theory for Engineers
Author: Harry Schwarzlander
Publisher: John Wiley & Sons
Total Pages: 580
Release: 2011-02-18
Genre: Technology & Engineering
ISBN: 0470976462

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A thorough introduction to the fundamentals of probability theory This book offers a detailed explanation of the basic models and mathematical principles used in applying probability theory to practical problems. It gives the reader a solid foundation for formulating and solving many kinds of probability problems for deriving additional results that may be needed in order to address more challenging questions, as well as for proceeding with the study of a wide variety of more advanced topics. Great care is devoted to a clear and detailed development of the ‘conceptual model' which serves as the bridge between any real-world situation and its analysis by means of the mathematics of probability. Throughout the book, this conceptual model is not lost sight of. Random variables in one and several dimensions are treated in detail, including singular random variables, transformations, characteristic functions, and sequences. Also included are special topics not covered in many probability texts, such as fuzziness, entropy, spherically symmetric random variables, and copulas. Some special features of the book are: a unique step-by-step presentation organized into 86 topical Sections, which are grouped into six Parts over 200 diagrams augment and illustrate the text, which help speed the reader's comprehension of the material short answer review questions following each Section, with an answer table provided, strengthen the reader's detailed grasp of the material contained in the Section problems associated with each Section provide practice in applying the principles discussed, and in some cases extend the scope of that material an online separate solutions manual is available for course tutors. The various features of this textbook make it possible for engineering students to become well versed in the ‘machinery' of probability theory. They also make the book a useful resource for self-study by practicing engineers and researchers who need a more thorough grasp of particular topics.


Probabilistic Reliability Analysis of Power Systems

Probabilistic Reliability Analysis of Power Systems
Author: Bart W. Tuinema
Publisher: Springer Nature
Total Pages: 337
Release: 2020-04-22
Genre: Technology & Engineering
ISBN: 3030434982

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This textbook provides an introduction to probabilistic reliability analysis of power systems. It discusses a range of probabilistic methods used in reliability modelling of power system components, small systems and large systems. It also presents the benefits of probabilistic methods for modelling renewable energy sources. The textbook describes real-life studies, discussing practical examples and providing interesting problems, teaching students the methods in a thorough and hands-on way. The textbook has chapters dedicated to reliability models for components (reliability functions, component life cycle, two-state Markov model, stress-strength model), small systems (reliability networks, Markov models, fault/event tree analysis) and large systems (generation adequacy, state enumeration, Monte-Carlo simulation). Moreover, it contains chapters about probabilistic optimal power flow, the reliability of underground cables and cyber-physical power systems. After reading this book, engineering students will be able to apply various methods to model the reliability of power system components, smaller and larger systems. The textbook will be accessible to power engineering students, as well as students from mathematics, computer science, physics, mechanical engineering, policy & management, and will allow them to apply reliability analysis methods to their own areas of expertise.