May 2021 – Aug 2021 · 3 mos

• Objective: To develop dynamic model of New York State grid for NYPA in EMTP, and validate 100+ test
• scenarios with complex controls.
• Developed the load flow model of the NYS grid in EMTP and validated model against NYPA Hypersim model.
• Modeled 43 IEEE controllers in EMTP, including governor, exciter, AVR, PSS, and inverter controls.
• Created 4 testbed examples in EMTP, Hypersim, and PSSe for EMTP controller validation using fault response.
• Collaborated with NYPA AGILe lab to implement controllers at 83 buses in EMTP model, and validated
• closed-loop response for 20+ test scenarios including 3-phase faults and step change to reference control inputs.
• Supervisor : Dr. Evangelos Farantatos (EPRI)

Aug 2018 – May 2023 · 4 yrs 9 mos · Raleigh-Durham, North Carolina Area

• 1. Data-driven Control of DER Integrated Power System using Nonlinear Carleman RL
• Created detailed models of renewables (solar, wind, and battery storage) and inverters in MATLAB, and interconnected to conventional grid for stability studies in wide-area control during high penetration.
• Developed novel theory for nonlinear data-driven control using Carleman based Reinforcement Learning.
• Extended designs to sparse controllers to implement practical constraints such as communication topology and bandwidth.
• Test the developed algorithms on developed PSCAD model with IBRs.
• 2. Scalable Design Methods for Wide-Area Optimal Control of Power Systems
• Develop methods and algorithms based on model reduction techniques feasible for online design of wide-area optimal controller to stabilize uncertain systems during contingencies
• 3. RTDS Testbed for Testing Cyber Attack Mitigation Algorithms
• Validate developed false data injection mitigation algorithms for wide-area control using real-time simulation on power system.
• Developed RSCAD model, and interconnected RTDS to physical PMUs through GTAO.
• Created python based distributed environment to run security algorithms.
• 4. Mitigation of Coordinated Attacks on Distributed Energy Management
• Developing model-free data based distributed and secure mode and mode shape estimation
• algorithms for power systems to detect, isolate and recover from cyber attacks.
• 5. Denial of Service Resiliency for Wide-Area Control of Power Systems
• Developing methods and algorithms for cyber-security of power systems with special focus on increasing system resiliency to Denial of Service attacks using a cohesive of machine learning and physics of power systems.
• Reviewing activities
• IEEE Transactions on Power Systems, IEEE Transactions on Control Systems Technology, Power
• Engineering Letters, IEEE Power and Energy Society General Meeting, American Control Conference
• Link : https://publons.com/researcher/3050984/jishnudeep-kar

Jan 2018 – Jun 2018 · 5 mos · New Delhi Area, India

• Hybrid State Estimation of Power System using Phasor Measurement Unit July 2017 – March 2018
• Objective: Developing a method of combining high resolution PMU and SCADA measurements to compute
• accurate state estimates of the power system.
• Improving accuracy of WLS State Estimation in EMS by inclusion of PMU measurements in post-processing step
• with highly similar simulation results to that when included in EMS software.
• Study and simulate the use of Auto-regressive Moving Average (ARMA) model for time series and space correlation
• (between power system buses) of acquired PMU data between runs of state estimation.
• Developing robust bad data detection techniques by use of auto-regressive functions and data prediction.
• Testing the developed model on continuously acquired data from National Load Dispatch Center (POSOCO).
• Advisor : Dr. A. R. Abhyankar (IIT Delhi)
• Worked as Teaching Assistant under Dr. I.N Kar for Basic Control Engineering Course (ELL225).
• Conducted weekly tutorial sessions and problem solving sessions.
• Evaluated answer scripts of 100+ students for 3 exams.

May 2017 – Jul 2017 · 2 mos

• Objective : To explore the scope of Industrial Internet of Things in GLTs (Green Leaf Threshing) manufacturing for creating automated,intelligent streamlined manufacturing and downtime reduction
• Developed Ethernet based architectures to connect all plant PLCs and SCADA to IoT Cloud Platform
• Developed a new methodology of streamlining feedrate and remote monitoring using RFID enabled tracking
• Predictive maintenance using wireless motor sensors to measure parameters such as temperature and vibrations trends and use predictive modelling to alarm the operator about possible/upcoming failure
• Developed complete Plant Energy Monitoring System using wireless power monitors at remote areas of the plant to monitor losses, power factors, daily energy consumption and efficiency of the factory in near realtime
• Reduced downtime of plant by 0.8% (excepting for natural causes) increasing its efficiency to 99.4%