Table Of ContentBig Data Analytics in
Future Power Systems
Big Data Analytics in
Future Power Systems
Edited by
Ahmed F. Zobaa and Trevor J. Bihl
CRC Press
Taylor & Francis Group
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Library of Congress Cataloging-in-Publication Data
Names: Zobaa, Ahmed F., editor. | Bihl, Trevor J., editor.
Title: Big data analytics in future power systems / [edited by] Ahmed F. Zobaa
and Trevor J. Bihl.
Description: Boca Raton : Taylor & Francis, a CRC title, part of the Taylor &
Francis imprint, a member of the Taylor & Francis Group, the academic
division of T&F Informa, plc, 2018. | Includes bibliographical references.
Identifiers: LCCN 2018024681 | ISBN 9781138095885 (hardback : acid-free paper) |
ISBN 9781315105499 (ebook)
Subjects: LCSH: Smart power grids—Data processing. | Big data. | Electric
power systems.
Classification: LCC TK3105 .B54 2018 | DDC 621.310285/57--dc23
LC record available at https://lccn.loc.gov/2018024681
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Contents
Preface ....................................................................................................................vii
Acknowledgments .................................................................................................ix
Editors ......................................................................................................................xi
List of Contributors .............................................................................................xiii
1. Introduction .....................................................................................................1
Ahmed F. Zobaa and Trevor J. Bihl
2. Big Data Application and Analytics in a Large-Scale Power System ....9
Jeremy Lin, Elham Foruzan, and Fernando H. Magnago
3. The Role of Big Data in Smart Grid Communications .........................37
Francisco M. Portelinha Júnior and Denisson Q. Oliveira
4. Big Data Optimization in Electric Power Systems: A Review ............55
Iman Rahimi, Abdollah Ahmadi, Ahmed F. Zobaa, Ali Emrouznejad, and
Shady H.E. Abdel Aleem
5. Security Methods for Critical Infrastructure Communications .........85
Ahmed F. Zobaa and Trevor J. Bihl
6 Data-Mining Methods for Electricity Theft Detection ......................107
Trevor J. Bihl and Ahmed F. Zobaa
7. Unit Commitment Control of Smart Grids ...........................................125
Salam Hajjar
8. A New Transformer Differential Protection Algorithm Based
on Data Pattern Recognition ....................................................................143
Ernesto Vázquez Martínez, Héctor Esponda Hernández, and Manuel
A. Andrade Soto
Index .....................................................................................................................169
v
Preface
The increasing penetration of the Smart Grid, the desire to monitor all com-
ponents in the power grid, and the expansion of the Internet of Things (IoT)
have resulted in Big Data problems throughout power systems. In general,
Big Data is permeating all aspects of our lives today and is a result of the
improvements of sensors and their availability, expanding communica-
tion abilities standards, and ever increasing abilities to store digital data.
Inherently, Big Data is created when data are logged or collected at very
high rates (velocity) on any number of processes (variety) with as fine of
detail possible (volume). The result of the ability to collect endless data is the
emergence of Big Data. However, power systems are connected to physical
devices and critical infrastructure (CI) and thus additional research prob-
lems and concerns exist in power system Big Data.
Big Data Analytics in Future Power Systems aims to discuss Big Data prob-
lems and solutions inherent in future power systems. It thus introduces
methods available to handle and make sense of Big Data in power systems.
This book covers a wide range of power system topics, from metering to
transformer monitoring. Demand prediction and planning under uncertain
generation, as seen with renewables, are further shown to be enabled by the
wealth of data available in Big Data. Additionally, this book discusses the
various security concerns that become manifest with Big Data and expanded
communications in power grids and CI.
It introduces the concepts, methods, and approaches needed by power sys-
tem professionals to improve their understanding of Big Data challenges and
capabilities. Further, it provides a glimpse of future directions of Big Data in
power systems. The book is composed of a collection of carefully selected
and reviewed chapters written by diverse experts in the field.
Ahmed F. Zobaa
Brunel University London
United Kingdom
Trevor J. Bihl
Wright State University
United States
vii
Acknowledgments
In addition to the authors themselves, we would like to thank the follow-
ing external researchers, professionals, and faculty who provided their time
and effort in reviewing chapters of this book. Additional thanks go to Kyra
Lindholm and Vanessa Garrett at Taylor & Francis Group/CRC Press for
courtesy, professionalism, and support in this endeavor.
Tim Carbino
Air Force Institute of Technology, USA
James Cordiero
University of Dayton, USA
Parisa Fatheddin
Air Force Institute of Technology, USA
Mark A Friend
Northern Arizona University, USA
Jordan Goldmeier
Cambia Factor, USA
Salam Hajjar
Marshall University, USA
Teresa Hawkes
University of Oklahoma, USA
Ronnie Minhaz
TC Services Inc
Todd Paciencia
Independent Researcher, USA
Carl Parson
Scientific Test and Analysis Techniques Center of Excellence, USA
Francisco Martins Portelinha Junior
National Institute of Telecommunications, Brazil
Daniel Steeneck
Air Force Institute of Technology, USA
David Smalenberger
Independent Researcher, USA
ix
