Power Systems Control and Reliability: Electric Power Design and Enhancement
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.

1133190718
Power Systems Control and Reliability: Electric Power Design and Enhancement
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.

169.95 Out Of Stock
Power Systems Control and Reliability: Electric Power Design and Enhancement

Power Systems Control and Reliability: Electric Power Design and Enhancement

by Isa S. Qamber
Power Systems Control and Reliability: Electric Power Design and Enhancement

Power Systems Control and Reliability: Electric Power Design and Enhancement

by Isa S. Qamber

Hardcover

$169.95 
  • SHIP THIS ITEM
    Temporarily Out of Stock Online
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


Overview

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.


Product Details

ISBN-13: 9781771888219
Publisher: Apple Academic Press
Publication date: 03/18/2020
Pages: 292
Product dimensions: 6.00(w) x 9.00(h) x (d)

About the Author

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.

Table of Contents

1. Introduction and Literature Review 2. Power Systems Control 3. Economic Dispatch 4. Overview of Power System Reliability 5. Power Systems Reliability 6. Generating Systems Reliability Indices 7. Building Power Plants 8. Transient Probabilities Solutions 9. Load Forecasting 10. Power Systems Reliability Applications

From the B&N Reads Blog

Customer Reviews