Fault Diagnosis in Smart Grid

Presented by: Mangal Hemant Dhend

According to Department of Energy (DOE) “Grid 2030” initiatives, grid modernization in to smart grid has become mandatory.  In the deployment of smart grid system current distribution systems are changing in its infrastructure due to addition of renewable distributed generations. Now a days wavelet transform is gaining name as extremely dominant and smart powerful tool in examination of fast momentary signals, analyzing power disturbance and power quality application. Present webinar will focus on demonstrating fault diagnosis using wavelet tool.  

Learning Objectives of webinar:

After attending this webinar learners will be able to:

  1. Understand how fault diagnosis is done by decomposition of fault signal currents.
  2. Grasp implementation of fault signal analysis for evaluating fault type, classify them and find location. 
  3. Compare results obtained with various feature like energy, entropy, and STD extracted from fault signal.

Conclusion- The audience would learn about basics of fault diagnosis in smart grid, application of wavelet transforms for finding fault type, analysis and location.


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Engineering college UG/PG students, teachers, researchers, professionals, Industrial persons


1 Mangal DhendMangal Hemant Dhend is having 30 years of teaching experience in UG/PG engineering classes of AISSMS college of engineering. Her research area is smart grid system and distribution system monitoring. She has published 2 patents and more than 50 papers in International and National journals along with 5 books for 4 universities. She is also a leadership fellow, certified professional, peer coach from EWC, USA.  Dr. Mangal is a senior member of IEEE, member of Industrial application society and education society. She has more than 25 awards & 35 honors on her credits, received at international, national, university and institute level. Recently she had received around 12,575 $ fellowship from EWC of USA. She has visited UK, Taiwan, Singapore, Thailand, and USA for professional work.

Tags & Topics for This Webinar:

Smart Grid; fault diagnosis; wavelet transform; feature extraction




For any questions, please contact Phyllis Caputo at p.caputo@ieee.org.

To view previous webinars on-demand, visit the IEEE Smart Grid Resource Center


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