The University of Southampton
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Electronics and Computer Science
Telephone:
+442380592025
Email:
A.K.Singh@soton.ac.uk

Dr Abhinav Kumar Singh BTech, PhD, MIEEE, AFHEA

https://scholar.google.co.uk/citations?user=tkp3t2gAAAAJ&hl=en
https://www.researchgate.net/profile/Abhinav_Kumar_Singh

Note: PhD applicants interested in doing PhD in power system estimation, control and renewable integration, please email me on A.K.Singh@soton.ac.uk.

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 Editor of IEEE Transactions on Power Systems and Journal of Modern Power Systems and Clean Energy.

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 estimation and control of renewable generation.

His research findings during PhD were selected for the EPSRC Doctoral Prize Fellowship. He has 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. He was also a member of IEEE PES Task Force on Dynamic State and Parameter Estimation, which standardized definitions and methods of dynamic estimation and demonstrate its applicability. Within this taskforce, he led a subtask aimed at demonstrating the value of dynamic estimation in real-time power system monitoring and control. His contributions to these task-forces have been recognised through the IEEE PES Working Group Recognition Awards, awarded in 2016 and 2022, respectively. He is currently a member of IEEE PES Task Force on Standard Test Cases for Power Systems State Estimation, wherein he is leading the development of the DSE test case for 68-bus benchmark system.

Research projects:

PI on a National Grid project, ‘Economic Ageing of Transformers’, NIA_NGTO038: £480K, Oct 2019-Jun 2021.

Co-I on a UK-China EPSRC-NSFC project, ‘Resilient Operation of Sustainable Energy Systems’, EP/T021713/1: £780K, Jul 2020-Jun 2023.

Research

Research interests

Power system dynamics

Power system modelling

Power system estimation and control

Modelling of renewable generation

Large-scale integration of renewables

Teaching

Current modules:

ELEC3213 - Power Systems Engineering

ELEC6222 - Power and Distribution

ELEC6226 - Power Electronics for DC Transmission

MATH2047 - Mathematics for Electronics & Electrical Engineering Part II

Past modules:

Power Systems Dynamics, Stability and Control

Power Electronics

Electrical Machine Design

Publications

Canizares, C., Fernandes, T., Geraldi, E., Gerin-Lajoie, L., Gibbard, M., Hiskens Tf Past Chair, I., Kersulis, J., Kuiava, R., Lima, M. L., Demarco, F., Martins, N., Pal, B. C., Piardi, A., Ramos, R., Roberto dos Santos, Joo, Silva, D., Singh, A. K., Tamimi, B. and Vowles, D. (2015) Benchmark systems for small-signal stability analysis and control (IEEE Power and Energy Society) Institute of Electrical and Electronics Engineers Inc. 390pp.

Singh, Abhinav Kumar and Pal, Bikash C. (2019) Dynamic estimation and control of power systems , Academic Press, 262pp.

Singh, A.K., Sawan, S., Hanmandlu, M., Madasu, V. K. and Lovell, B. C. (2009) An abandoned object detection system based on dual background segmentation. In 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance. Institute of Electrical and Electronics Engineers Inc. pp. 352-357 . (doi:10.1109/AVSS.2009.74).

Singh, Abhinav Kumar and Pal, Bikash Chandra (2019) Rate of change of frequency estimation for power systems using interpolated DFT and Kalman filter. IEEE Transactions on Power Systems, 34 (4). (doi:10.1109/TPWRS.2018.2881151).

Bhui, Pratyasa, Senroy, Nilanjan, Singh, Abhinav K. and Pal, Bikash C. (2018) Estimation of inherent governor dead-band and regulation using unscented Kalman filter. IEEE Transactions on Power Systems, 33 (4), 3546-3558. (doi:10.1109/TPWRS.2017.2765692).

Zhao, Junbo, Gomez-Exposito, Antonio, Netto, Marcos, Mili, Lamine, Abur, Ali, Terzija, Vladimir, Kamwa, Innocent, Pal, Bikash Chandra, Singh, Abhinav Kumar, Qi, Junjian, Huang, Zhenyu and Meliopoulos, A. P. Sakis (2019) Power system dynamic state estimation: Motivations, definitions, methodologies and future work. IEEE Transactions on Power Systems, 34 (4), 3188 - 3198. (doi:10.1109/TPWRS.2019.2894769).

Singh, Abhinav Kumar and Pal, Bikash C. (2018) Decentralized robust dynamic state estimation in power systems using instrument transformers. IEEE Transactions on Signal Processing, 66 (6), 1541-1550, [8249743]. (doi:10.1109/TSP.2017.2788424).

Singh, Abhinav Kumar and Pal, Bikash C. (2018) Decentralized nonlinear control for power systems using normal forms and detailed models. IEEE Transactions on Power Systems, 33 (2), 1160-1172. (doi:10.1109/TPWRS.2017.2724022).

Singh, Abhinav Kumar and Pal, Bikash C. (2014) Decentralized dynamic state estimation in power systems using unscented transformation. IEEE Transactions on Power Systems, 29 (2), 794-804, [6616007]. (doi:10.1109/TPWRS.2013.2281323).

Singh, Abhinav K. and Pal, Bikash C. (2016) An extended linear quadratic regulator and its application for control of power system dynamics. In 2016 IEEE 1st International Conference on Control, Measurement and Instrumentation, CMI 2016. Institute of Electrical and Electronics Engineers Inc. pp. 110-114 . (doi:10.1109/CMI.2016.7413721).

Singh, Abhinav Kumar and Pal, Bikash C. (2017) An extended linear quadratic regulator for LTI systems with exogenous inputs. Automatica, 76, 10-16. (doi:10.1016/j.automatica.2016.10.014).

Singh, Abhinav Kumar and Pal, Bikash C. (2016) Decentralized control of oscillatory dynamics in power systems using an extended LQR. IEEE Transactions on Power Systems, 31 (3), 1715-1728, [7202912]. (doi:10.1109/TPWRS.2015.2461664).

Canizares, C., Fernandes, T., Geraldi, E., Gerin-Lajoie, L., Gibbard, M., Hiskens Tf Past Chair, I., Kersulis, J., Kuiava, R., Lima, L., Demarco, F., Martins, N., Pal, B. C., Piardi, A., Ramos Tf Chair, R., Dos Santos, J., Silva, D., Singh, A. K., Tamimi, B. and Vowles, D. (2017) Benchmark models for the analysis and control of small-signal oscillatory dynamics in power systems. IEEE Transactions on Power Systems, 32 (1), 715-722, [7463478]. (doi:10.1109/TPWRS.2016.2561263).

Ariff, M. A.M., Pal, B. C. and Singh, A. K. (2015) Estimating dynamic model parameters for adaptive protection and control in power system. IEEE Transactions on Power Systems, 30 (2), 829-839, [6861457]. (doi:10.1109/TPWRS.2014.2331317).

Singh, Abhinav Kumar, Singh, Ravindra and Pal, Bikash C. (2015) Stability analysis of networked control in smart grids. IEEE Transactions on Smart Grid, 6 (1), 381-390, [6813688]. (doi:10.1109/TSG.2014.2314494).

Zhao, Junbo, Netto, Marcos, Huang, Zhenyu, Yu, Samson Shenglong, Gomez-Exposito, Antonio, Wang, Shaobu, Kamwa, Innocent, Akhlaghi, Shahrokh, Mili, Lamine, Terzija, Vladimir, Meliopoulos, A.P. Sakis, Pal, Bikash C., Singh, Abhinav Kumar, Abur, Ali, Bi, Tianshu and Rouhani, Alireza (2020) Roles of dynamic state estimation in power system modeling, monitoring and operation. IEEE Transactions on Power Systems, 36 (3). (doi:10.1109/TPWRS.2020.3028047).

Mir, Abdul Saleem, Singh, Abhinav Kumar and Senroy, Nilanjan (2021) Robust observer based methodology for frequency and rate of change of frequency estimation in power systems. IEEE Transactions on Power Systems, 36 (6), 5385-5395. (doi:10.1109/TPWRS.2021.3076562). (In Press)

Liu, Yu, Singh, Abhinav Kumar, Zhao, Junbo, Meliopoulos, A. P., Pal, Bikash Pal, Ariff, M. A. M., Van Cutsem, Thierry, Glavic, Mevludin, Huang, Zhenyu, Kamwa, Innocent, Mili, Lamine, Mir, Abdul Saleem, Taha, Ahmad, Terzija, Vladimir and Yu, Shenglong (2021) Dynamic state estimation for power system control and protection. IEEE Transactions on Power Systems. (doi:10.1109/TPWRS.2021.3079395).

Zhao, Junbo, Singh, Abhinav Kumar, Mir, Abdul Saleem, Taha, Ahmad, Abur, Ali, Gomez-Exposito, Antonio, Meliopoulos, A.P. Sakis, Pal, Bikash, Kamwa, Innocent, Qi, Junjian, Mili, Lamine, Ariff, M.A.M., Netto, Marcos, Glavic, Mevludin, Yu, Samson Shenglong, Wang, Shaobu, Bi, Tianshu, Van Cutsem, Thierry, Terzija, Vladimir, Liu, Yu and Huang, Zhenyu (2021) Power system dynamic state and parameter estimation-transition to power electronics-dominated clean energy systems: IEEE task force on power system dynamic state and parameter estimation (IEEE Power and Energy Society) IEEE 90pp.

Contact

Telephone: +44 (0) 23 8059 2025

Email: A.K.Singh@soton.ac.uk

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