Dr Jianing Li BEng (Hons) PhD, MIET, MIEEE

Dr Jianing Li

Department of Electronic, Electrical and Systems Engineering
Lecturer in Smart Energy Systems

Contact details

University of Birmingham
B15 2TT

Dr Jianing Li is a Lecturer in Smart Energy Systems. His research interests include electricity market modelling, energy policies, smart grid, distributed energy systems, internet of things and machine learning technology.

In the past years, he has delivered a world-leading distributed micro virtual power plant system with industrial partners. It addresses the fundamental technology in distributed energy systems. More importantly, it tackles fuel poverty challenge and provides strong justification for investment in energy efficiency measure He also has been actively developing innovative business and market modelling of distributed energy systems to enable grid flexibility. In 2019, he delivered a First of its Kind project with Riding Sunbeams funded by the InnovateUK in integration of renewable generation in Rail power systems.


  • PhD in Electrical Engineering (University of Birmingham)
  • BEng (Hons) in Electronic and Electrical Engineering (University of Birmingham)
  • BEng in Electrical Engineering and Automation (Huazhong University of Science & Technology)


Jianing Li graduated from University of Birmingham and Huazhong University of Science and Technology (HUST) with BEng in Electrical Engineering with 1st class in 2011. He then continued for a PhD in Electrical Engineering in the Department of Electronic, Electrical and Systems Engineering at the University of Birmingham.

In 2015, he started to work as research fellow for an EPSRC project in collaboration with National Grid. He was appointed as a Senior Research Fellow in September 2016. He obtained the lectureship with the University of Birmingham in November 2019.


MSc Programme in Electrical Power Systems:

  • MATLAB Computing for Smart Grids and Electrical Power Systems
  • Power System Stability Control and Protection
  • Power System Operation and Control

Postgraduate supervision

Distributed energy system modelling, economics and policy operation, control and planning smart grids, AI and machine learning for Smart Grids and Enabling technologies for Smart Grids.


Dr Jianing Li’s research interests include electricity market modelling, energy policies, smart grid, distributed energy systems, internet of things and machine learning technology 

Other activities

  • Vice-Chair of the IEEE UK and Ireland Power and Energy Society Chapter
  • Committee member of Early Career Research network for the Supergen Energy Networks Hub
  • Secretary of Chinese Society for Electrical Engineering UK Chapter
  • Webmaster of CIGRE Next Generation Network.


  • T. Song, Y. Li, X.-p. Zhang, C. Wu, J. Li, Y. Guo, et al., "Integrated port energy system considering integrated demand response and energy interconnection," International Journal of Electrical Power and Energy Systems, vol. 117, 11/1 2019.
  • Y. Lu, X.-p. Zhang, J. Li, Z. Huang, C. Wang, and L. Luo, "Design of a reward-penalty cost for the promotion of net-zero energy buildings," Energy, vol. 180, pp. 36-49, 8/1 2019.
  • K. Gu, F. Wu, X.-p. Zhang, P. Ju, H. Zhou, J. Luo, et al., "SSR analysis of DFIG-Based wind farm with VSM control strategy," IEEE Access, vol. 7, pp. 118702-118711, 8/22 2019.
  • Y. Lu, Z. Khan, H. Gunduz, W. Wang, J. Li, and X.-p. Zhang, "Economic Performance of Net-Zero Energy Community under Reward-Penalty Mechanism Considering PV System Reliability," Environmental and Climate Technologies, vol. 23, pp. 26-42, 12/1 2019.
  • Y. Xue, D. Kong, R. Guan, J. Li, A. Taylor, and X.-P. Zhang, "A New RTDS-based HIL Testing Platform for the Complex Modern Electricity Transmission Systems," The Journal of Engineering, 7/19 2018.
  • T. Song, Y. Li, X.-P. Zhang, J. Li, C. Wu, Q. Wu, et al., "A cluster-based baseline load calculation approach for individual industrial and commercial customer," Energies, vol. 12, 12/26 2018.
  • J. Li, C. Yang, D. Kong, S. Mann, and X.-p. Zhang, "Methodology for P&C cyber security studies using real-time digital simulation," The Journal of Engineering, vol. 2018, pp. 1130-1134, 7/18 2018.
  • H. Fu, Z. Wu, J. Li, X.-p. Zhang, and J. Brandt, "A Configurable μVPP with Managed Energy Services," A Malmo Western Harbour Case, vol. 3, pp. 166-178, 8/31 2016.
  • Z. Wu, X.-P. Zhang, J. Brandt, S. Zhou, and J. Li, "Three Control Approaches for Optimized Energy Flow with HEMS," IEEE Power and Energy Technology Systems Journal, vol. 2, pp. 21-31, 5 2015.
  • J. Li, Z. Wu, S. Zhou, H. Fu, and X.-p. Zhang, "Aggregator service for PV and battery energy storage systems of residential building," CSEE Journal of Power and Energy Systems, vol. 1, pp. 3-11, 12/1 2015.
  • S. Zhou, Z. Wu, J. Li, and X.-p. Zhang, "Real-time Energy Control Approach for Smart Home Energy Management System," Electric Power Components and Systems, vol. 42, pp. 315-326, 3/12 2014.
  • Z. Wu, S. Zhou, J. Li, and X.-P. Zhang, "Real-Time Scheduling of Residential Appliances via Conditional Risk-at-Value," IEEE Transactions on Smart Grid, vol. 5, p. 1282, 5 2014.

View all publications in research portal