Big Data Analytics in Future Power Systems: 1st Edition (Hardback) book cover

Big Data Analytics in Future Power Systems

1st Edition

Edited by Ahmed F. Zobaa, Trevor J. Bihl

CRC Press

174 pages

Purchasing Options:$ = USD
Hardback: 9781138095885
pub: 2018-09-24
$99.95
x
eBook (VitalSource) : 9781315105499
pub: 2018-08-14
from $49.98


FREE Standard Shipping!

Description

Power systems are increasingly collecting large amounts of data due to the expansion of the Internet of Things into power grids. In a smart grids scenario, a huge number of intelligent devices will be connected with almost no human intervention characterizing a machine-to-machine scenario, which is one of the pillars of the Internet of Things. The book characterizes and evaluates how the emerging growth of data in communications networks applied to smart grids will impact the grid efficiency and reliability. Additionally, this book discusses the various security concerns that become manifest with Big Data and expanded communications in power grids.

  • Provide a general description and definition of big data, which has been gaining significant attention in the research community.
  • Introduces a comprehensive overview of big data optimization methods in power system.
  • Reviews the communication devices used in critical infrastructure, especially power systems; security methods available to vet the identity of devices; and general security threats in CI networks.
  • Presents applications in power systems, such as power flow and protection.
  • Reviews electricity theft concerns and the wide variety of data-driven techniques and applications developed for electricity theft detection.

Table of Contents

Introduction. Big Data Application and Analytics in a Large-Scale Power System. The Role of Big Data in Smart Grid Communications. Big Data Optimization in Electric Power Systems: A Review. Security Methods for Critical Infrastructure Communications. Data-Mining Methods for Electricity Theft Detection Unit Commitment Control of Smart Grids. A New Transformer Differential Protection Algorithm Based on Data Pattern Recognition.

About the Editors

Ahmed Faheem Zobaa received the B.Sc.(Hons), M.Sc., and Ph.D. degrees in electrical power and machines from Cairo University, Egypt, in 1992, 1997, and 2002, respectively. From 2007 to 2010, he was a Senior Lecturer in renewable energy at University of Exeter, U.K. He was also an Instructor from 1992 to 1997, a Teaching Assistant from 1997 to 2002, an Assistant Professor from 2003 to 2008, an Associate Professor from 2008 to 2013 at Cairo University, where he has also been a Professor (on leave) since December 2013. Currently, he is a Senior Lecturer in power systems, an MSc Course Director and a Full Member of the Institute of Energy Futures at Brunel University London, U.K. His main areas of expertise are power quality, (marine) renewable energy, smart grids, energy efficiency, and lighting applications.

Dr. Zobaa is an Editor-in-Chief for the "International Journal of Renewable Energy Technology and Technology and Economics of Smart Grids and Sustainable Energy." He is also an Editorial Board member, Editor, Associate Editor, and Editorial Advisory Board member for many international journals. He is a registered Chartered Engineer, Chartered Energy Engineer, European Engineer, and International Professional Engineer. He is also a registered member of the Engineering Council U.K., Egypt Syndicate of Engineers, and the Egyptian Society of Engineers. He is a Senior Fellow of the Higher Education Academy of U.K. He is a Fellow of the Institution of Engineering and Technology, the Energy Institute of U.K., the Chartered Institution of Building Services Engineers, the Institution of Mechanical Engineers, the Royal Society of Arts, the African Academy of Science, and the Chartered Institute of Educational Assessors. He is a senior member of the Institute of Electrical and Electronics Engineers. He is also a member of the International Solar Energy Society, the European Power Electronics and Drives Association, and the IEEE Standards Association.

Trevor Joseph Bihl received a Ph.D. in Electrical Engineering from the Air Force Institute of Technology, Wright Patterson AFB, OH. Additionally, he received the B.S. and M.S. degrees, also in Electrical Engineering, from Ohio University, Athens, OH. Primarily, he is a research scientist and engineer. He is also an educator, and holds faculty positions at Wright State University in both the Department of Biomedical, Industrial and Human Factors Engineering and the Department of Pharmacology & Toxicology. His main areas of expertise include statistical data analysis, pattern recognition, communication systems, autonomous systems, cyber security, operations research, and remote sensing.

Dr. Bihl is an Associate Editor for the "International Journal of Electrical Engineering Education." He is also the author of Biostatistics Using JMP: A Practical Guide. He is a member of the Institute of Electrical and Electronics Engineers (IEEE), and the Institute for Operations Research and the Management Sciences (INFORMS). Also, he is a member of the INFORMS Subdivision Council.

Subject Categories

BISAC Subject Codes/Headings:
SCI024000
SCIENCE / Energy
TEC031020
TECHNOLOGY & ENGINEERING / Power Resources / Electrical
TEC064000
TECHNOLOGY & ENGINEERING / Sensors