Aranya Chakrabortty
Professor
My research interests span all branches of control system theory with applications to large-scale electric power systems. I am a part of the FREEDM Systems Center, currently researching several system and control-theoretic problems for the US power grid using Synchrophasor (WAMS) technology, and its integration with renewable energy sources such as wind energy.
Education
2004 - BE in Electrical Engineering, Jadavpur University, India
2005 - MS in Electrical Engineering, Rensselaer Polytechnic Institute, Troy, NY
2008 - PhD in Electrical Engineering, Rensselaer Polytechnic Institute, Troy, NY
2009 - Postdoctoral Research Associateiate, Aeronautics & Astronautics, University of Washington, Seattle, WA
Awards & Honors
- 2019 - University Faculty Scholar
- 2018 - Editor of IEEE Transactions on Power Systems
- 2016 - Associate Editor, IEEE Transactions on Control System Technology
- 2015 - Senior Member of IEEE
- 2011 - NSF CAREER Award
- 2009 - Allen B Dumont Prize (RPI, Top PhD Graduate)
- 2006 - HKN Honor Society award for best Graduate TA, RPI
Recent Publications
- Differential Privacy for Network Identification (2020)
- Guest Editorial: Next Generation of Synchrophasor-based Power System Monitoring, Operation and Control (2020)
- Improving Controllability and Plug-and-Play Operation of Wind Farms Using B2B Converters (2020)
- Measurement-driven optimal control of utility-scale power systems: A New York State grid perspective (2020)
- Model-Free Reinforcement Learning of Minimal-Cost Variance Control (2020)
- A Cyber-Security Investment Game for Networked Control Systems (2019)
- A Measurement-based Adaptive Power System Damping Control Design using ERA-driven Neural Observer and Reinforcement Learning (2019)
- A passivity-based globally stabilizing PI controller for primary control of radial power distribution systems (2019)
- A systems and control perspective of CPS security (2019)
- Block-Decentralized Model-Free Reinforcement Learning Control of Two Time-Scale Networks (2019)