Sowmya Acharya

Ph. D.

University of Wisconsin-Madison

Hobbies

  • Photography
  • Piano

About Me

I am a Research Associate at University of Wisconsin-Madison in the Power Systems Engineering Research Centre (PSERC). I work with Prof. Christopher L. DeMarco on efficient compression of large datasets obtained from phasor measurement units.

My research interests include:

  • Power system operations
  • Grid data analytics
  • Wide-area measurement systems

Education

Ph. D.

Dec 2019
Department of Electrical and Computer Engineering, UW-Madison

M. S.

Aug 2014
Department of Electrical and Computer Engineering, UW-Madison

Experience

Research Associate

Dec 2019-Dec 2020
Dept. of ECE, UW-Madison, WI.

Fellow Intern

Aug-Dec 2018
GE Global Research, Niskayuna, NY

Publications

Sowmya Acharya and C. L. DeMarco, Data Compression for Power Distribution System Waveform Measurements

IEEE Transactions on Smart Grid [Under review].

Sowmya Acharya and C. L. DeMarco, Low-loss Image-based Compression for Synchrophasor Measurements

IET Generation, Transmission & Distribution, 2020.

Sowmya Acharya and C. L. DeMarco, Enhancing Lossy Compression of PMU Measurements by Data Conditioning

2020 IEEE PES ISGT North America, Washington, DC, 2020.

Philip Hart, Sowmya Acharya and Honggang Wang, Coherency-Based Detection Algorithm for Synchrophasor Cyberattacks

2019 North American Power Symposium (NAPS), Wichita, KS, 2019.

Lalitha Sankar, Christopher DeMarco, Reetam Sen Biswas, Zhigang Chu, Andrea Pinceti, Sowmya Acharya and Jong Min Lim, Synchrophasor Data-Analytics for a More Resilient Electric Power System

Power Systems Engineering Research Center, Final Project Report S-74, September 2019.

Sowmya Acharya and C. L. DeMarco, Exploiting Network-induced Correlation for Efficient Compression of PMU Data

2018 North American Power Symposium (NAPS), Fargo, ND, 2018.

Sowmya Acharya and C. L. DeMarco, Topology Error Estimation in Power System Dynamic Models

Poster at IEEE PES T&D Conference and Exposition 2018.

CV

CV: Download PDF