The PhD project aims to model the distribution networks, dynamic loads and distributed generation resources to optimise efficient energy management dispatch strategies. Controllable distribution systems play an important role in achieving net zero targets globally. While they have their own complexities in terms of three phase unbalance, high R/X ratios, incorporation of the less predictable generation sources and complex loads, their proper modeling can be instrumental in achieving better operations. The created models would be used for various applications including providing aggregated flexibility from distribution system operator (DSO) to the transmission system operation (TSO) enabling the possibility of large scale renewable energy, and clean transportation integration. Due to complexity of the modeling, non availability of the accurate data, requirements of the fast computing for real time applications, data driven approaches can benefit to create the representative models for large scale simulations. The project would finally aim to create a digital twin for a representative distribution system and demonstrate its efficacy for utilization in power system operations. Background required: Bachelors degree in Electrical Engineering. Masters in Power Systems would with knowledge in power system analysis will be an advantage. Strong interest in mathematical modelling and computer programming is desirable.
“Elevating Horizons Through Discovery and Ingenuity”