Contents
Page List
POWER SYSTEMS CONTROL AND RELIABILITY
Electric Power Design and Enhancement
POWER SYSTEMS CONTROL AND RELIABILITY
Electric Power Design and Enhancement
Isa S. Qamber
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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
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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 |