Smart Local Energy Systems (SLES) 

Development of an iterative approach for investigating the optimal mix of technologies in electric energy and heat energy considering the interactions between these sectors, validated against Barry Island case study (UK).

• Review of the ICT infrastructure of SLES in the UK.

• Analysis of system observability SCADA and AMI measurements in power distribution systems and district heat systems.

• Hybrid deep neural network and the model-based approach for state estimation in SLES.

Network Identification 

Development of method for identifying the distribution network topology and the line parameters using the measurements data from smart meters and PMUs, tested against standard IEEE-13 bus unbalanced feeder, IEEE-33 bus, IEEE-123 bus networks.

• Analysis of the impact of various measurement errors and system events.

• Analysis of critical points for installation of micro-PMU Measurements.

• Data-driven approach with iterative probabilistic (unscented Kalman filter based) and deterministic (Newton-Raphson based) methods.

Electric-Vehicle (EV) and Battery Management System (BMS) 

Development of model-based EV drive systems, efficient and reliable battery pack design.

• Development, testing and comparison of PMSM, Induction motor and SyRM based EV drive systems.

• Closed loop bidirectional EV charger design.

• Kalman filter based state-of-charge and state-of-health estimation in EV BMS.

UBES and SMES Technology

Development of ultrabattery energy storage (UBES) and the super magnetic energy storage (SMES) systems for load frequency control and renewable-intensive grid stabilization.

• Supervisory control for generation of appropriate power command for UBES/SMES for mitigation of inter-area oscillations.

• UBES/SMES applications for frequency control in renewable intensive power networks.

Virtual Synchronous Machine (VSM)

An industry-level solution for providing virtual inertia in renewable dominated power network, is introduced capable to work under islanded and grid-connected mode.

• Self-synchronizing system without any phase locked loop.

• Seamless transition between ’grid-connected’ and ’off-grid’ operational modes.

• Automatic islanding detection (adhering IEEE-1547 standard) and eigen-value stability analysis.

• Robust system with respect to micro-grid communication delays and harmonic currents/voltages.

Cyber-Physical Microgrids

Development of sensor-malfunction and cyber-attack resilient renewable power network.

• Identify the attack signals from the receiver data and provides resiliency to the system.

• Analysis with catastrophic failure of the current sensors.

PV Leakage Current Suppression

Issues with absence of galvanic isolation in grid-connected PV plants are tackled.

• Leakage current alleviation as per VDE-00126 standard.

• Development of different converter topologies and gating, to eliminate the common mode voltage and improve the power quality.

• Novel R-L filter and its design for system without any additional semiconductor switch.

Low-Voltage Ride-Through (LVRT) 

Development of ride-through strategy of the solar/wind energy conversion system, to comply with UK grid codes and the IEEE-1547 standard.

• Avoids the tripping of the grid-connected converter under faults in the grid-side network.

• Provides dynamic reactive power as per the country grid code.

• Indirect current control for grid frequency support and harmonic elimination.

Unified Power Quality Conditioner (UPQC)

Development of reduced sensor based PV fed UPQC system for power quality improvement under various abnormal conditions in grid side and load side network.

• Power quality issues of grid currents balancing, harmonics elimination, compensation of reactive power, grid voltage sag and voltage swell mitigation.

• Adheres to the revised IEEE-519 and IEEE-1159 standards even under unbalanced/harmonic voltages/loads.

Damping control of DFIG based Wind Farm 

Development of a damping controller with adaptive dynamic programming approach for a doubly fed induction generator (DFIG) based wind energy conversion system.

• Model-free full-state feedback damping controller design.

• Exogenous input (i.e., variation in terminal voltage) is consolidated to enhance the damping.

• Effective stability improvement under weak grid condition.

Ongoing Projects 

Design and Analysis of Axial Flux Machine Technology for Electric Vehicle Motor Drives

• Period: 2023-2025

• Approved R&D Grant of INR 33 Lakhs from SERB, DST, India

• Role : Principal Investigator 

Power Electronics Research Facilities for Modernization of Mining Infrastructure

• Period: 2023-2027

• Approved R&D Grant of INR 204 Lakhs from SR/FST/ET-II/2023/1230/, Govt. of India

• Role : Co-Principal Investigator 

Ultrabattery Technology for Renewable Intensive Electric Networks

• Period: 2022-2025

• Approved R&D Grant of INR 14 Lakhs from SLE- Institute Fund of IIT (ISM) Dhanbad

• Role : Principal Investigator.

Establishment of NSDC Skill Training Center of Excellence in Collaboration with ReNew Power 

• Period: 2025-2026

• Approved Grant of INR 100 Lakhs from CSR

• Role : Co-ordinator.

Completed Projects 

Student Projects on (a) Moving Window Analysis for Power System Disturbance; (b) Design, Simulation and Optimization of Substation Transformer Rating. 

Project Contributions

Projects Contributed as a Research Associate at Cardiff University (2020-2021) 

Contribution to UKRI - smart local energy systems current landscape in Energy sector in the UK in order to inform policy makers to meet the UK Government 2050 carbon targets. 

• Energy/REV -Next wave of local energy systems in a whole systems context, Funded by the EPSRC and University of Strathclyde. 

• Supergen Energy Networks Hub 2018, Funded by EPSRC, via University of Newcastle. 

Projects Contributed as a Researcher at IIT Delhi (2015-2020)

• UK-India Clean Energy Research Institute (UK-I CERI) 

• Solar Energy Research Initiative (SERI)

•  Joint Indo-US collaborative project SERI-II

•  Joint UK-India Clean Energy Centre (JUICE) 

• Fund for Improvement of Science and Technology (FIST) 

•  J. C. Bose fellowship, Government of India 

• Ph.D. - 03 Ongoing

• M. Tech. -03 Ongoing