Aranya Chakrabortty

Biography

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. My current research interests also include the application of machine learning based controls to power system applications at both transmission and distribution levels.

Education

• Ph.D. 2008
  Electrical Engineering
  Rensselaer Polytechnic Institute, NY
• Master's 2005
  Electrical Engineering
  Rensselaer Polytechnic Institute, NY
• Bachelor's 2004
  Electrical Engineering
  Jadavpur University, India

Recent Publications

• Climate Change Mitigation, Adaptation, and Resilience: Challenges and Opportunities for the Control Systems Community (2024)
• Distributed Multiagent Reinforcement Learning Based on Graph-Induced Local Value Functions (2024)
• Data-Driven Optimal Power Dispatch for Distributed Energy Resources in Radial Feeder using Multi-Stage Regression (2023)
• Distributed Reinforcement Learning for Networked Dynamical Systems (2023)
• Game-Theoretic Mixed H₂/H_∞ Control with Sparsity Constraint for Multi-Agent Control Systems (2023)
• Power Flow Optimization Redesign for Transient Stability Enhancement (2023)
• Reinforcement Learning based Approximate Optimal Control of Nonlinear Systems using Carleman Linearization (2023)
• Robust and Scalable Game-theoretic Security Investment Methods for Voltage Stability of Power Systems (2023)
• A Robust Stackelberg Game for Cyber-Security Investment in Networked Control Systems (2022)
• Data-Adaptive Retrofit Control for Power System Stabilizer Design (2022)