Dr Abhinav Kumar Singh BTech, PhD, MIEEE, AFHEA
Note: A fully funded PhD studentship is available for UK nationals and EU nationals who have been in the UK for atleast 3 years prior to the scheduled start of this PhD. For details see: https://www.jobs.ac.uk/job/BSJ823/phd-studentship-renewable-integration-in-power-systems-challenges-in-estimation-and-control
Dr. Abhinav Kumar Singh received his Bachelor’s degree in Aug 2010 from Indian Institute of Technology (IIT), New Delhi, India, and Ph.D. degree in Jan 2015 from Imperial College London, U.K., both in Electrical Engineering. He has been a Lecturer of Power Systems at the School of Electronics and Computer Science, University of Southampton, since April 2019. Prior to joining Southampton, he was a Lecturer at University of Lincoln from Aug 2017 to Mar 2019, and a Research Associate at Imperial College London from Jan 2015 to July 2017. He currently also serves as an Editor of IEEE Transactions on Power Systems.
His research interests lie in real-time estimation and control of future energy networks, a multi-disciplinary area involving the fields of power systems, sustainable energy, control systems, signal processing and communication. The motivation behind his research lies in the fact that traditional technologies for protection and control of energy systems need to be upgraded to manage newer complexities arising because of increased integration of renewable sources of energy - and the identification or estimation of current operating states of the system in real-time is a necessary requirement for that. His key research contribution towards this requirement is in proposing a new approach for achieving decentralization in estimation and control of power systems which bypasses the unrealistic assumption of having a rigorous communication network for data transmission in power systems and facilitates real-time estimation and control. His current research deals with dynamic estimation based nonlinear control of power system dynamics, and modelling and dynamic state estimation of renewable generation.
His research findings during PhD were selected for the EPSRC Doctoral Prize Fellowship. He has also developed and validated a 68-bus power system model as part of IEEE PES Task Force on Benchmark systems for small signal stability analysis and control, which now serves as a standard for researchers to validate their innovations in stability analysis and control design. His contributions to the task-force have been recognised through the IEEE PES Working Group Recognition Award, awarded in 2016. He is currently a member of IEEE PES Task Force on Dynamic State and Parameter Estimation, which aims to standardize definitions and methods of dynamic estimation and demonstrate its applicability. Other than contributing to various sub-tasks of the task force, he is also leading a subtask aimed at demonstrating the value of dynamic estimation in real-time power system monitoring and control.