Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering




+44 (0)20 7594 6178f.teng Website CV




1113Electrical EngineeringSouth Kensington Campus





Dr Fei Teng is a lecturer in the Department of Electrical and Electronic Engineering, Imperial College London. He is also serving as the deputy director of Imperial - Tsinghua Joint Research Centre for Intelligent Power and Energy Systems and holding a visiting position at MINES ParisTech, France.

Dr Teng graduated with a BEng from Beihang University, China in 2009 and obtained Ph.D. from Imperial College London in 2015. He worked as a Research Associate at Imperial from 2015 to 2017 and as an Assistant Professor in Smart Grids at MINES ParisTech, France in 2017.

His research focuses on the low-inertia power system, cyber-resilient energy system operation, and data analytics for future energy systems. He has authored more than 50 scientific publications in leading power system journals and conferences. His research has been funded by EPSRC, ESRC, Innovate UK, EDF Energy, Baringa Partners, and National Grid ESO.


  • Low-inertia Power System Operation - Inertia Forecasting,  Low-inertia System Scheduling, Ancillary Service Market Design, and Frequency Services from RES and DSR
  • Data Analytics in Power System - Forecasting, Flexibility Quantification, Data Market, and Data Privacy and Security.
  • Cyber-physical Power System - Cyber-physical System Modelling, Cybersecurity, and Resilient Control and Operation under Cyberattacks.

Research GRANTS

  1. "Technology Transformation to Support Flexible and Resilient Local Energy Systems", EPSRC/NSFC, 2020-2023, Co-I (Collaborating with Cardiff U, Zhejiang U, Tsinghua U, and HFUT )
  2. AI Applications in Future Energy Markets: Market Implications and Regulatory Requirements.”, ESRC DTP Studentship (Partially funded by Baringa Partners), 2020-2023, PI 
  3. “Energy for Development - Low Carbon Energy and Industry for Economic Growth in Mongolia”, Research England GCRF, 2020, Co-I
  4. "Consumer-centric Privacy Protection Scheme for Energy Consumption Data", EPSRC (through Supergen Energy Networks), 2019-2020, PI
  5. "False Data Injection Attack against Machine-learning Based Energy Forecasting Algorithms", European Partners Fund, 2019-2021, PI (Collaborating with Prof George Kariniotakis MINES ParisTech, France)
  6. Short-term System Inertia Forecast - A Data-driven Approach”, National Grid ESO (through Network Innovation Allowance), 2019-2020, PI 
  7. "Optimisation of Integrated Highly-electric Urban Energy Systems", EDF Energy Studentships, 2019-2024, Co-I
  8. Socio-Techno-Economic Pathways for sustainable Urban energy develoPment (STEP-UP)”, ESRC-NWO-NSFC, 2019-2022, Co-I (Collaborating with TU Delft, Tsinghua U, and Zhejiang U)
  9. Holistic Cyber-physical System Modelling for Cyber-security Analysis in Electricity Systems”, EPSRC CDT Studentship, 2018-2021, PI
  10. Agent-based Simulation Approach to the Provision of Ancillary Service by Demand Response and Distributed Storage and Generation Assets in the Future Low Carbon System”, ESRC DTP Studentship, 2018-2021, PI 
  11. V2Street”, Innovate UK, 2018-2019, Co-I


Current PhD Students (Primary supervision):

Mr Martin Higgins, 2nd year, MSc from Imperial, UK 

Mr Zhongda Chu, 2nd year, MSc from ETH, Switzerland 

Mr Saurab Chhachhi, 2nd year, MEng from Imperial, UK

Mr Pudong Ge, 1st year, MEng from Southeast University, China

Mr Wangkun Xu, 1st year, MSc from Imperial, UK

Mr Drake Siard, to start from Oct 2020

Ms Jemima Graham, to start from Oct 2020

Current PhD Students (Co-supervision):

Mr Cormac O'Malley, 1st year, MEng from Oxford, UK 

Ms Aimon Mirza Baig, 1st year,

Current Research Staff: 

Dr Evelyn Heylen, PhD from KU Leuven

Former Student/Staff:

Dr Luis Badesa, PhD Thesis: Towards a Cost-Effective Operation of Low-Inertia Power Systems, First Position: Energy Consultant at ARUP

Prospective Ph.D. Students:

PhD positions are available in the areas of Power System Optimisation under Uncertainty, Privacy-preserving Data Analytics, and Cyber-physical Modelling of Future Power Systems. The applicants should have a Distinction/First class grade Master’s degree in electrical engineering or a related field, and strong knowledge in optimization, programming, and mathematics.

Informal inquiries and requests for additional information can be made to Dr Fei Teng by email at

Applications will be assessed as received and all applicants should follow the standard College application procedure (indicating Dr Fei Teng as supervisor) (


  1. IEEE/PES Member
  2. Member of EERA JP ESI.
  3. Committee member of CES and CSEE UK Branch.
  4. Associate Editor for 1) Control Engineering Practice, 2) IEEE Open Access Journal of Power and Energy, and 3) IET Energy Conversion and Economics
  5. Guest Editors for 1) "Challenges in Future Grid-Interactive Power Converters: Control Strategies, Optimal Operation, and Corrective Actions" in IET Renewable Power Generation; 2)  "Reducing Energy Demand in the Industrial and Manufacturing Sectors" in Energies; 3)“Advanced Approaches and Applications for Electric Vehicle Charging Demand Management” in IEEE Transactions on Industry Applications; 4) “Privacy and Security in Smart Grids” in IET Smart Grids
  6. Reviewer for IEEE Trans. Sustain. Energy, IEEE Trans. Power Syst., IEEE Trans. Smart Grid, IEEE Trans. Autom. Sci. Eng., Applied Energy, Energy, ICE–Energy, J MOD POWER SYST CLE, Energy Policy, Renewable & Sustainable Energy Review, and Nature Energy.

Publications under review

  1. M. Higgins, F. Teng (*) and T. Parisini “Stealthy MTD Against Unsupervised Learning-based Blind FDI Attacks in Power Systems”, IEEE Trans. Information Forensics & Security, under review
  2. Y Xiang, Y Wang, SW Xia, and F. Teng (*) "Charging Load Pattern Extraction for Residential Electric Vehicles: A Training-free Non-intrusive Method", IEEE Trans. Industrial Informatics, under review
  3. PD. Ge, BL. Chen and F. Teng (*)Event-triggered distributed MPC for voltage control of an islanded microgrid”, International Journal of robust and nonlinear control, under second-round review
  4. PD. Ge, Y. Zhu, TC. Green and F. Teng (*) “Resilient Secondary Voltage Control of Islanded Microgrids: An ESKBF-Based Distributed Fast Terminal Sliding Mode Control Approach”, IEEE Trans. Power Systems, under third-round review
  5. WY Bao, QW Wu, L Ding, S Huang, F Teng, and V. Terzija, “Synthetic Inertial Control of Wind Farm with BESS Based on Model Predictive Control”, IET Renewable Power Generation, under second-round review
  6. JR Guo, L. Badesa, F. Teng, B. Chaudhuri, R. Hui, and G Strabc, "Value of Point-of-load Voltage Control for EnhancedFrequency Response in Future GB Power System", IEEE Trans. Smart Grids, under second-round review



Luo J, Bu S, Teng F, 2020, An optimal modal coordination strategy based on modal superposition theory to mitigate low frequency oscillation in FCWG penetrated power systems, International Journal of Electrical Power & Energy Systems, Vol:120, ISSN:0142-0615, Pages:1-11

Shen F, Wu Q, Xu Y, et al., 2020, Hierarchical service restoration scheme for active distribution networks based on ADMM, International Journal of Electrical Power & Energy Systems, Vol:118, ISSN:0142-0615, Pages:1-10

Chu Z, Markovic U, Hug G, et al., 2020, Towards optimal system scheduling with synthetic inertia provision from wind turbines, Ieee Transactions on Power Systems, ISSN:0885-8950, Pages:1-1

Malekpour M, Azizipanah-Abarghooee R, Teng F, et al., 2020, Fast Frequency Response From Smart Induction Motor Variable Speed Drives, Ieee Transactions on Power Systems, Vol:35, ISSN:0885-8950, Pages:997-1008

Badesa L, Teng F, Strbac G, 2020, Pricing inertia and Frequency Response with diverse dynamics in a Mixed-Integer Second-Order Cone Programming formulation, Applied Energy, Vol:260, ISSN:0306-2619, Pages:1-11

More Publications