Big Data Analytics in Power System Professional Elective BEE714D
Course Code: BEE714D
Credits: 03
CIE Marks: 50
SEE Marks: 50
Total Marks: 100
Exam Hours: 03
Total Hours of Pedagogy: 40H
Teaching Hours/Weeks: [L:T:P:S] 3:0:0:0
Introduction: Big Data, Future Power Systems.
Big Data Application and Analytics in a Large – Scale Power System: Introduction, General Applications
of Big Data, Algorithms for Processing Big Data, Application of Big Data in Power Systems.
Role of Big Data in Smart Grid Communications: Introduction, The Grid Modernization, The Grid
Interconnection with the Internet of Things, Data Traffic Pattern in a Smart Grid Environment, The Massive
Flow of Information in a Smart Scenario ,The Volume of Generated Data in a Smart Distribution System: A
Case of Study.
Big Data Optimization in Electric Power Systems: Introduction, Background, Scientometric Analysis of
Big Data, Big Data and Power Systems, Optimization Techniques Used in the Big Data Analysis.
Security Methods for Critical Infrastructure Communications: Introduction, Effects of Successful Communication System Threats, General Communication System Operations, Industrial Control Networks and Operations, High-Level Communication System Threats, Cyber Threats and Security. Data – Mining Methods for Electricity Theft Detection: Introduction, Transmission and Distribution System Losses, Electricity Theft Methods, Data Mining and Electricity Theft, Issues and Directions in Electricity Theft-Related Data-Mining Research.
Unit Commitment Control of Smart Grids: Introduction, Renewable Energy Resources, The Unit Commitment Problem, A Multi-agent Architecture, Illustrative Example.
Transformer Differential Protection Algorithm Based on Data Pattern Recognition: Big Data and Power System Protection, Methods for Differential Protection Blocking, Principal Component Analysis, Curvilinear Component Analysis (CCA), PCA Applied to Discriminate Between Inrush and Fault, Currents in Transformers, Application of the CCA as a Base for a Differential Protection System Under Study, Results.

