High Energy And Power Density (HEAPD) solutions to large energy deficits
The joint collaboration of the Indo-UK Institutions, was aimed to provide cutting-edge solutions for the countries while they look forward for low carbon generation by mobilizing local DC grids. This project made a platform to share the knowledge and research of the professors and research scholars from India and UK universities.

Objectives
DC microgrid benchmark setup has been developed at IIT Roorkee for the investigation of DC grids integration at distribution and transmission level in India
UI-ASSIST: US-India collAborative for smart diStribution System wIth STorage
This project aims to develop and demonstrate the DSO functions for optimal utilization and management of DER by interfacing with DER control and microgrid control system as well as analysis of prototype feeders with high penetration of energy storage. The project also aims at addressing communication needs; data needs; security, including cyber-security; economy and resiliency issues; social issues; workforce requirements; policy recommendations; and suitable DSO functions considering seamless integration of μEMS and DSM functions.

Demonstration of MW scale Solar energy Integration in weak grid using Distributed Energy Storage architecture (D-SIDES)
This project targets to standardize design, analysis and deployment techniques to integrate energy storage systems to transform the solar integrated weak distribution system to a reliable, robust grid for increased renewable penetration in the near future.

Objectives

Indo-Danish collaboration for data-driven control and optimization for a highly Efficient Distribution Grid(ID-EDGe)
This project aims to reduce the dependency on the communication infrastructure and the information available from the third parties and a machine learning-based data-driven approach is designed to predict the system operation and configuration at different operating points. Further to secure, efficient and optimal operation of the entire distribution grid through a new developed robust optimization technique. The designed framework can sustain any change in the input parameters and make the overall system adaptive against any disturbance. Therefore, an uninterrupted supply to the loads in the most economical and efficient way can be assured with the aims of this project.

Objectives
Data Analysis and Model Based Scheduling of Distribution Grid
Robust Scheduling of Demand and RES Generation
Development of Model Free Loss Optimization
PHIL Validation of System Response in Laboratory Prototype
