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

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

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POWER SYSTEMS CONTROL AND RELIABILITY Electric Power Design and Enhancement - photo 1
POWER SYSTEMS CONTROL AND RELIABILITY

Electric Power Design and Enhancement

POWER SYSTEMS CONTROL AND RELIABILITY
Electric Power Design and Enhancement

Isa S. Qamber

Apple Academic Press Inc Apple Academic Press Inc 4164 Lakeshore Road - photo 2

Apple Academic Press Inc.

Apple Academic Press Inc.

4164 Lakeshore Road

1265 Goldenrod Circle NE

Burlington ON L7L 1A4

Palm Bay, Florida 32905

Canada

USA

2020 by Apple Academic Press, Inc.

No claim to original U.S. Government works

International Standard Book Number-13: 978-1-77188-821-9 (Hardcover)

International Standard Book Number-13: 978-0-42928-701-5 (eBook)

All rights reserved. No part of this work may be reprinted or reproduced or utilized in any form or by any electronic, mechanical or other means, now known or hereafter invented, including photocopying and recording, or in any information storage or retrieval system, without permission in writing from the publisher or its distributor, except in the case of brief excerpts or quotations for use in reviews or critical articles.

This book contains information obtained from authentic and highly regarded sources. Reprinted material is quoted with permission and sources are indicated. Copyright for individual articles remains with the authors as indicated. A wide variety of references are listed. Reasonable efforts have been made to publish reliable data and information, but the authors, editors, and the publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors, editors, and the publisher have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged, please write and let us know so we may rectify in any future reprint.

Trademark Notice: Registered trademark of products or corporate names are used only for explanation and identification without intent to infringe.

Library and Archives Canada Cataloguing in Publication

Title: Power systems control and reliability : electric power design and enhancement / Isa S. Qamber.

Names: Qamber, Isa S., author.

Description: Includes bibliographical references and index.

Identifiers: Canadiana (print) 20190239840 | Canadiana (ebook) 20190239875 | ISBN 9781771888219 (hardcover) | ISBN 9780429287015 (ebook)

Subjects: LCSH: Electric power systems. | LCSH: Reliability (Engineering)

Classification: LCC TK1001 .Q36 2020 | DDC 621.31dc23

CIP data on file with US Library of Congress

Apple Academic Press also publishes its books in a variety of electronic formats. Some content that appears in print may not be available in electronic format. For information about Apple Academic Press products, visit our website at www.appleacademicpress.com and the CRC Press website at www.crcpress.com

Isa S Qamber PhD Professor Electrical and Electronics Engineering - photo 3

Isa S. Qamber, PhD

Professor, Electrical and Electronics Engineering Department,
University of Bahrain, Kingdom of Bahrain

Isa S. Qamber, PhD, is a Professor in the Electrical and Electronics Engineering Department at the University of Bahrain. He joined the Department of Electrical Engineering and Computer Science, College of Engineering, University of Bahrain, as an assistant professor and was an ex-chairman for the Department of Electrical and Electronics Engineering in the same university. From 2008 to 2011, he was the 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 IEEE (Institute of Electrical and Electronics Engineers, USA) and was a member of the International Council on Large Electric Systems, the Bahrain Society of Engineers, and the Board of Bahrain Society of Engineers. He established and chaired the IEEE Bahrain Section. His research interests include studying the reliability of power systems and plants as well as renewable energy. 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.

Contents

ANFIS

adaptive network-based fuzzy inference system

ANN

artificial neural networks

APE

absolute percent error

ARK2

additive Runge-Kutta

CAIDI

customer average interruption duration index

CRM

capacity reserve margin

EENS

expected energy not served

EIR

energy index of reliability

EPLF

electric power load forecasting

EPNS

expected power not supplied

ERK

explicit Runge-Kutta

ESDIRK

explicit, singly-diagonally implicit Runge-Kutta

EUE

expected un-served energy

FI

fuzzy inference

FIS

fuzzy inference system

FL

fuzzy logic

FOR

forced outage rate

HLI

hierarchical level one

HLII

hierarchical level two

HLIII

hierarchical level three

HLOLE

hourly loss of load expectation

IDI

interruption duration index

LOEP

loss of energy probability

LOLE

loss of load expectation

LOLEV

loss of load events

LOLH

loss of load hours

LOLP

loss of load probability

LTLF

long-term load forecasting

MDT

mean downtime

MLP

multilayer perceptions

MTBF

mean time between fail

MTLF

medium-term load forecast

MTTF

mean time to fail

MTTR

mean time to repair

NERC

North American Electric Reliability Corporation

ORR

outage replacement rate

PLM

priority list method

PRM

planning reserve margin

RBD

reliability block diagram

SMM

system multiplication method

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