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E-raamat: Power Systems Control and Reliability: Electric Power Design and Enhancement

  • Formaat: 292 pages
  • Ilmumisaeg: 13-Mar-2020
  • Kirjastus: Apple Academic Press Inc.
  • ISBN-13: 9781000710823
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Power Systems Control and Reliability: Electric Power Design and EnhancementSuurem pilt
  • Formaat: 292 pages
  • Ilmumisaeg: 13-Mar-2020
  • Kirjastus: Apple Academic Press Inc.
  • ISBN-13: 9781000710823
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This new volume, Power Systems Control and Reliability: Electric Power Design and Enhancement, focuses on power systems reliability and generating unit commitments. These reliability techniques are essential in the design and evaluation of the electric power systems for planning, control, and operation.



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.

Arvustused

"Professor Qamber is a well-known scientist and academician in the field of electrical power engineering. In this book, he presents applications of probability methods and concepts in the field of electric power systems reliability. These concepts are very useful not only to power systems reliability engineering but also to other reliability engineering fields. In addition, the textbook covers power systems control, unit commitment, economic dispatch, and load forecasting. In addition to literature review and recent references, the text is supplemented by numerous solved examples. Therefore, the book is useful to undergraduate and graduate students, researchers, as well as practicing engineers. Mohammed Albadi, IEEE Senior member, Associate Professor and Head of Electrical and Computer Engineering Department, Sultan Qaboos University, Oman

About the Author v
Abbreviations ix
Preface xi
1 Introduction and Literature Review
1(6)
2 Power Systems Control
7(4)
3 Economic Dispatch
11(38)
4 Overview of Power System Reliability
49(16)
5 Power Systems Reliability
65(60)
6 Generating Systems Reliability Indices
125(64)
7 Building Power Plant
189(28)
8 Transient Probabilities Solution
217(8)
9 Load Forecasting
225(10)
10 Power Systems Reliability Applications
235(32)
Appendix A Selected Laplace Transforms Functions 267(2)
Appendix B Normal Distribution Table 269(2)
Appendix C LOLP Calculation Steps 271(2)
Color insert of illustrations A--H
Index 273
Isa S. Qamber, PhD, is a Professor in the Electrical and Electronics Engineering Department at the University of Bahrain. Prior to that, he was Dean of the College of Applied Studies, University of Bahrain, and Dean of Scientific Research from 2011 to 2014. He is a senior member of the Institute of Electrical and Electronics Engineers and established and chaired the IEEE Bahrain Section. Dr. Qamber received his BSc degree in electrical engineering from King Saud University, Kingdom of Saudi Arabia; his MSc degree from the University of Manchester Institute of Science and Technology, United Kingdom; and his PhD degree in reliability engineering from the University of Bradford, UK.
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