Power

PowerThrust Area Coordinator (TAC) – Dr. R. K. Singh (email: rksingh.eee@iitbhu.ac.in)

Dr. R. K. Singh (Power)
Associate Professor in Electrical Engineering
IIT (BHU), Varanasi
rksingh.eee@iitbhu.ac.in

The DAPT on Power is one the thrust/application areas recognized by the IIT (BHU) for its planned Centre on Data Analytics and Predictive Technologies. The DAPT at IIT (BHU) will undertake the technology development using DAPT for environment friendly, smart home automation with the system of Internet of Things (IoT)-activated smart devices that can be controlled remotely. The activities envisioned under the DAPT will provide a great impetus to India’s Smart Cities Mission in terms of environmentally friendly, reliable, efficient, and IoT activated optimum power generation/flow and thus, setting up a DAPT based smart grid for smart homes and cities. The Mission will help in manufacturing via the invention of new products, services and the creation of skilled young human resource at all levels (technicians, researchers, scientists, and entrepreneurs).

The initiative of DAPT will become a key contributor to realizing the vision of “Digital India.” An assessment of the estimated skill gaps is contained, besides the expected need for human resources in existing and new jobs across the infrastructural development of the country. The DAPT will be used for system-based power electronics involving embedded sensors, actuators, interconnected by IoT, with computing in the network for the purpose of optimising the socio- technical systems, such as smart energy grids for smart homes/cities. The development of DAPT will catalyse rigorous scientific advances in power processors, sensors, communications, and control over networks, for a variety of physical systems. In the DPR, the DAPT sector covers the culmination of a consultative process to assess the importance of the DAPT as a technology for smart cities mission, along with exploring the core R&D issues.

Power

  1. Mix Energy Source Renewable Integration in Sustainable Smart Power Grid.
  2. Failure prediction and preventive maintenance
  3. Digital twin of power generation, transmission, and distribution
  4. Solar PV Integrated DAPT Driven IoT Based E-Vehicle Charging Infrastructure.
  5. Data Analytics and Predictive Technology based Multidirectional Power Management for Smart Homes.
  6. Environmental Prediction Model for IoT Based Smart Agriculture.
  7. Optimization and Power Management of Energy Storage System.
  8. Design, development, and fabrication of energy management system
  9. Wireless Power Transfer and Energy Harvesting.
  10. High Power Density High Efficiency Hybrid Processor Technology.
  11. Smart Power Grid Infrastructure with Cyber Security.
  12. Power Quality in Standalone and Grid Tied System.
  13. DAPT based IoT Enabled Demand Response Management in Distribution System.
  14. Power Optimization in Smart Microgrid Infrastructure.
  15. Reconfigurable Power Processors for Variable Futuristic Loads.