1. BE in Electrical Engineering, Jadavpur University, Calcutta, India, 2004
2. Research Student, Indian Institute of Technology (IIT) Kharagpur, Summer 2003
3. MS in Electrical Engineering, Rensselaer Polytechnic Institute, 2005.
5. Postdoctoral Research Associate, Aeronautics & Astronautics Department, University of Washington, Seattle, 2008-2009
6. Assistant Professor, Electrical & Computer Engineering, Texas Tech University, 2009-2010
7. Assistant Professor, Electrical & Computer Engineering, NC State University, 2010-2015
8. NSF CAREER Award, 2011
9. Associate Professor, Electrical & Computer Engineering, NC State University, 2015-2020
10. Professor, Electrical & Computer Engineering, NC State University, 2020-present
11. Program Director, US National Science Foundation (NSF), 2020-present
New Papers and Results
Control of power systems with distributed energy resources - CSM
4. Model reduction based model-free wide-area control TSG21
6. Graph Theory in power systems IEEE Proc
My research activities span all branches of control theory with applications to electric power systems. At NC State I am a part of the NSF FREEDM Systems Center, currently investigating several system and control-theoretic research problems for the US power grid using Wide-area Measurement Systems (WAMS), or Synchrophasor technology, its cyber-physical implementation via service-oriented wide-area communication networks, and its integration with renewable energy sources such as wind and solar energy.
As of Fall 2021, I have graduated 12 PhD students and 5 postdocs, and currently supervise 6 PhD students. Some specific topics of research that my group is currently looking into are:
1. Reinforcement Learning based Control of Multi-Agent Networks Adaptive and optimal strategies for designing distributed model-free controllers for network dynamic systems, combining model reduction theory with learning-based control for real-time control of extreme-scale networks, Carlemann approximation methods for model-free nonlinear control
2. Data-driven Wide-area Monitoring and Control of Power Systems Adaptive and optimal strategies for wide-area control of power systems using PMU data under high levels of model uncertainties
3. Co-designing Wide-area Communications and Control Cyber-physical challenges for wide-area communications, co-designing sparse controllers using information about network delays
4. Hierarchical Control of DERs Multi-stage optimization and control of next-generation grid with millions of new control points from inverter-based distributed energy resources
5. Optimization and Control of Power Distribution Systems Over the past two years, my research has also broadened to new problems on dynamics, optimization and controls at distribution-level power systems arising due to large-scale integration of electric vehicle charging and power electronic converters such as Solid State Transformers (SST), coupled with wind and solar generation.
As the number of PMUs scales up into the thousands in the next few years under the US Department of Energys smart grid demonstration initiative, it is rather intuitive that the current state-of-the art centralized communication and information processing architecture of WAMS will no longer be sustainable, and a distributed cyber-physical architecture will need to be developed. Motivated by this challenge, over the past year my group in collaboration with the Renaissance Computing Institute (RENCI) of UNC Chapel Hill have developed a wide-area communication testbed, referred to as the ExoGENI-WAMS testbed at the FREEDM Systems Center. The testbed has been recently federated with the DETER testbed of Information Sciences Institute at University of Southern California as a part of the Smart America Initiative of NIST. The testbed consists of two layers:
1. A hardware-in-loop set-up consisting of Real-time Digital Simulators (RTDS) integrated with multi-vendor PMUs
2. A cloud-based multi-port, multi-user ExoGENI+DETER network that can transport PMU data from the RTDS to a network of virtual PDCs (phasor data concentrators), and execute distributed monitoring and control algorithms in real-time.
ExoGENI allows users to create custom topologies using resources from multiple federated providers via a control and management software called the Open Resource Control Architecture (ORCA) to orchestrate the networked cloud resource provisioning. It showcases the fact that the current design practice based on the centralized servers and IP-based Internet architecture is not an economical and efficient solution to satisfy the real-time requirement of processing large volumes of Synchrophasor data. Instead, an IaaS based solution is much more practical. ExoGENI service allows dynamic provisioning of virtual machines of different CPU and memory capacities with customized software images. With this capability, the WAMS communication network can automatically request for the right virtual machine to run the best real-time algorithm eg. distributed oscillation monitoring, state estimation and wide-area controls. Connection to DETER, on the other hand, allows us to carry out diverse cyber-security related experiments on wide-area monitoring and control loops.
Check out a concept paper for this testbed, presented at CPS Week in Seattle, WA, Apr. 2015.
The project is funded partly by the US Department of Energy, NSF CPS, and ABB Corporate Research.
Check out some links on ExoGENI-WAMS:
3. Constructing attack-resilient communication topologies via a federation of RTDS-WAMS testbed and DETER-lab (collaboration with Univ. of Southern California)
An introductory research brochure for my PhasorLab, featuring several recently procured PMUs, can be found here.
Please click here for a full list of my publications.
Some recent Poster and Powerpoint presentations made by my students and me can be found at the following links:
NC State University:
1. ECE 451: Power Systems Analysis Fall 2012, 2013
2. ECE 736: Power Systems Stability and Control Spring 2013 - present
3. ECE 726: Advanced Feedback Control (Optimal ControlFall 2014 present (odd years)
4. ECE 792: Adaptive ControlFall 2018 present (even years) Course flyer
5. ECE 436: Digital Control Systems Spring 2019
Texas Tech University:
Systems Dynamics and Stability Fall 2009
2. Wind Power System Modeling and Simulation Spring 2010
· Committee member for IEEE CSS reporting on Control for Climate Change
· Committee member for IEEE CSS and CS Smart Grid Vision documentation.
· Editor for IEEE Transactions on Power System (2018- 2022)
· Associate Editor for IEEE Transactions on Control System Technology (2016-2020)
· Associate Editor for IEEE Control System Society Conference Editorial Board (2013-2020)
· Conference TPC or Operating Committee member for:
1. Vice-President for Invited Sessions American Control Conference 2019, Philadelphia
2. Vice-President for Industry Applications American Control Conference 2016, Boston
3. International Conference on Cyber-Physical Systems (ICCPS, CPS Week) 2018, 2017, 2016, 2013
4. IEEE GlobalSip 2016, 2015 - Symposium on Signal and Information Processing for Optimizing Future Energy Systems
5. TPC Chair for Smart Grid Control Workshop at WiSATS 2015, Bradford, UK, 2015.
6. IEEE Conference on Smart Grid Communications (Smartgridcomm) 2012-2013
· Journal Reviewer for Automatica (Elsevier), IEEE Transactions on Automatic Control, IEEE Transactions on Power Systems, IEEE Transactions on Control Systems Technology, IEEE Transactions on Smart Grids, IEEE Transactions on Control and Network Systems, IEEE Power Electronics Letters, Journal of Process Control (Elsevier), Control Engineering Practice, International Journal of Hydrogen Energy (Elsevier), Mathematical Problems in Engineering, SIAM Journal on Control and Optimization, IEEE Transactions on Circuits and Systems, etc.
· Conference Reviewer for: IEEE Conference on Decision and Control, American Control Conference, IEEE MSC, IEEE PES General Meeting, IEEE ISGT, IEEE T&D Conference, IEEE Smartgridcomm, European Control Conference, IEEE Powertech, AIAA Conference on Guidance, Navigation and Control