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 currently serving as the education director of Energy Futures Lab and the deputy director of Imperial - Tsinghua Joint Research Centre for Intelligent Power and Energy Systems. He is also 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, and National Grid ESO.


  • Power System Operation with High Penetration of Inverter Based Generators - Inertia Forecasting,  Scheduling of Low-inertia and Low Short Circuit Current System,  and Ancillary Service Provision from RES and DSR
  • Data-Driven Cyber-physical Power System - Cyber-physical System Modelling and Control, Cybersecurity, and Data Privacy and Security.

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. “Energy for Development - Low Carbon Energy and Industry for Economic Growth in Mongolia”, Research England GCRF, 2020, Co-I
  3. "Consumer-centric Privacy Protection Scheme for Energy Consumption Data", EPSRC (through Supergen Energy Networks), 2019-2020, PI
  4. "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)
  5. Short-term System Inertia Forecast - A Data-driven Approach”, National Grid ESO (through Network Innovation Allowance), 2019-2020, PI 
  6. 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)

External Studentship

  1. AI Applications in Future Energy Markets: Market Implications and Regulatory Requirements.”, ESRC DTP Studentship, 2020-2023, PI 
  2. Holistic Cyber-physical System Modelling for Cyber-security Analysis in Electricity Systems”, EPSRC CDT Studentship, 2018-2021, PI
  3. 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 


Current PhD Students (Primary supervision):

Mr Martin Higgins, 3rd year, MSc from Imperial, UK 

Mr Zhongda Chu, 3rd year, MSc from ETH, Switzerland 

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

Mr Pudong Ge, 2nd year, MEng from Southeast University, China

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

Ms Jemima Graham, 1st year, MSc from Imperial, UK

Mr Drake Siard, 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)“Advanced Approaches and Applications for Electric Vehicle Charging Demand Management” in IEEE Transactions on Industry Applications; 3) “Privacy and Security in Smart Grids” in IET Smart Grids 4) “Cloud-Edge-End Orchestrated Computing for Smart Grid”, IEEE Transactions on Cloud Computing
  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. E. Heylen, G. Strbac and F. TengChallenges and opportunities of inertia estimation and forecasting in low-inertia power systems”, Renewable and Sustainable Energy Reviews, 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 second-round review
  3. M. Higgins, Keith Mayes and F. Teng Enhanced Cyber-Physical Security Using Attack-resistant Cyber Nodes and Event-triggered Moving Target Defence”, IET Cyber-Physical Systems: Theory & Applications, accepted with revision



Higgins M, Teng F, Parisini T, 2020, Stealthy MTD against unsupervised learning-based blind FDI Attacks in power systems, Ieee Transactions on Information Forensics and Security, ISSN:1556-6013, Pages:1-1

Strbac G, Pudjianto D, Aunedi M, et al., 2020, Role and value of flexibility in facilitating cost-effective energy system decarbonisation, Progress in Energy, Vol:2, Pages:042001-042001

Ge P, Chen B, Teng F, 2020, Event-triggered distributed model predictive control for resilient voltage control of an islanded microgrid, International Journal of Robust and Nonlinear Control, ISSN:1049-8923

Ding Z, Teng F, Sarikprueck P, et al., 2020, Technical Review on Advanced Approaches for Electric Vehicle Charging Demand Management, Part II: Applications in Transportation System Coordination and Infrastructure Planning, Ieee Transactions on Industry Applications, Vol:56, ISSN:0093-9994, Pages:5695-5703

Li X, Xiang Y, Lyu L, et al., 2020, Price Incentive-Based Charging Navigation Strategy for Electric Vehicles, Ieee Transactions on Industry Applications, Vol:56, ISSN:0093-9994, Pages:5762-5774

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