Title: Shape Data Analysis for Fault Detection in Power Distribution Systems
Presenter: Dr. Reza Arghandeh, Professor, Department of Computing, Mathematics, and Physics and Department of Electrical Engineering at the Western Norway University of Applied Sciences, Norway
Time: 2:00 -3:00 PM, Friday, February 8, 2019
Location: B134, FAMU-FSU College of Engineering
Note: Refreshments will be served after the presentation
Abstract
Massive data available from new measurement devices such as phasor measurement units (PMU) in the power distribution systems have opened up further possibilities for better diagnosis and identification of abnormal events. However, more advanced machine learning methods are needed to analyze such high resolution and high-quality data while preserving the structure of the data to extract the necessary information. This talk presents the use of the “shape” of the data as a novel feature to improve machine learning methods so-called Shape Data Analysis (SDA) for fault detection in power distribution networks. The theoretical tools provided by SDA are used to better characterize different patterns emerged under different electrical fault conditions. The findings are supported by the actual data achieved from a Power Hardware-in-the-Loop (HIL) test bed.
Bio of Dr. Reza Arghandeh
Dr. Reza Arghandeh is a Professor in the Department of Computing, Mathematics, and Physics and Department of Electrical Engineering at the Western Norway University of Applied Sciences, in Bergen, Norway. He has been an Assistant Professor in the Electrical and Computer Engineering Dept, and the Center for Advanced Power Systems at Florida State University, USA, 2015-2018. He completed his Ph.D. in Electrical Engineering at Virginia Tech (2013) and spent two years in a post-doctorate position at the University of California-Berkeley. He also holds two masters degrees, one in Industrial & Systems Engineering from Virginia Tech (2013) and the other in Mechanical Engineering from the University of Manchester (2008). He has been a power system software designer at Electrical Distribution Design Inc. in Virginia, USA, 2011-2013. Dr. Arghandeh is the recipient of the IBM Faculty Award in 2018. He is a senior member of IEEE and the chair for the Working Group on Big Data Application in Power Distribution Networks. His research interests include data analysis and decision support for smart grids and smart cities.
Prof. Reza Arghandeh, PhD
Western Norway University of Applied Sciences
Norway