School of Engineering

Staff Profile

Ridoy Das

Research Associate


I am a Research Associate in power systems and Smart grids. My research interests includes optimisation, game-theory, multi-agent systems, electric vehicles, energy management and renewable energy. I am working for the Innovate UK e4Future project to develop management strategies for integrating electric vehicles in power systems. I am working with The Alan Turing Institute to develop data centred platforms for facilitating the utilisation of electric vehicles as an interconnected and flexible energy asset.


My principal research area is optimisation applied in the power system context. I have experience in linear, non-linear, convex and non-convex optimisation techniques, including meta-heuristic and machine learning algorithms. These topics are complemented by my interest in game theory, multi-agent systems and renewable energy integration.


I have experience in delivering lectures and seminars for undergraduate and postgraduate courses:

1) Smart Grids and power systems

2) Design of lighting systems in buildings


  • Das R, Wang Y, Ghanim P, Kotter R, Marzband M, Herteleer B, Warmerdam J. Multi-Objective Techno-Economic-Environmental Optimisation of Electric Vehicles for Energy Services. Applied Energy 2020, 257, 18.
  • Wang Y, Das R, Putrus G, Kotter R. Economic Evaluation of Photovoltaic and Energy Storage Technologies for Future Domestic Energy Systems – A Case Study of the UK. Renewable Energy 2020, 203, 117826.
  • Paladin A, Das R, Wang Y, Putrus G, Kotter R, Turri R. Micro Market based Optimisation Framework for Decentralised Management of Distributed Flexibility Assets. Renewable Energy 2020. Submitted.
  • Bentley E, Kotter R, Wang Y, Das R, Putrus G, Van Der Hoogt J, Van Bergen E, Warmerdam J, Heller R, Jablonska B. Pathways to energy autonomy - challenges and opportunities. International Journal of Environmental Studies 2019, 76(6), 28.
  • Vadium IT, Das R, Wang Y, Putrus G, Kotter R. Electric vehicle Carbon footprint reduction via intelligent charging strategies. In: 8th International Conference on Modern Power Systems (MPS). 2019, IEEE.
  • Das R, Wang Y, Putrus G, Busawon K. Modelling the State of Charge of Lithium-ion batterues. In: 53rd International Universities Power Engineering Conference (UPEC). 2018, IEEE.
  • Nicoli M, Das R, Wang Y, Putrus G, Turri R, Kotter R. A Smart Grid Modelling Tool for Evaluating Optimal Control of Electric Vehicles. In: 53rd International Universities Power Engineering Conference (UPEC). 2018, Glasgow: IEEE.
  • Al-Karakchi AAA, Putrus G, Das R. Smart EV charging profiles to extend battery life. In: 52nd International Universities Power Engineering Conference (UPEC). 2017.