Imperial College London

DrFeiTeng

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Senior Lecturer
 
 
 
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Contact

 

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

 
 
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Location

 

1116Electrical EngineeringSouth Kensington Campus

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Summary

 

Summary

Dr Fei Teng is the Director of Education at Energy Futures Laba pan-university hub promoting inter-disciplinary research in energy, and a Senior Lecturer in the Department of Electrical and Electronic Engineering at Imperial College London. He holds/held visiting positions at MINES ParisTech, France,  PolyUHong Kong and KTH, Sweden. 

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 PERSEE, MINES ParisTech, France in 2017.

His research primarily focuses on the interplay of energy and digital technologies. He has developed strong expertise in software-defined power networks (enabled by high penetration of power electronics) and the cyber resiliency and privacy of digitalized power systems.  

He has authored more than 100 scientific publications in leading power system journals and conferences. He is the recipient of the Best Papers Awards from IEEE Transactions on Power Systems and IEEE Transactions on Power Electronics, the Early Career Award from IEEE TC on Secure and Dependable Measurement, and the Kan Tong Po International Fellowship from the Royal Society. His research has been funded by EPSRC, ESRC, Innovate UK, Research England, the Royal Society, EDF Energy, Hitachi, and National Grid ESO.

His research publication is accessible through Google Scholar and Research Gate

RESEARCH AREAS


  • Software-defined Power Networks with High Penetration of Power Electronics- Stability-constrained Optimization, Uncertainty Modelling and Management, System Service Provision from RES and DSR (including both GFM and GFL), and High-fidelity Forecasting for System Stability (e.g. Inertia, System Strength).
  • Cyber Resiliency and Privacy of Digitalized Power Systems - Cyber-resilient Control and Operation, Wireless Emergency Communication for Power Grids, and Data Privacy and Trading.

RECENT TALKS

SELECTED RESEARCH GRANTS


  1. Cyber-Resilience Enhancing Detection and mITigation for Networked MicroGrids (CREDIT-NMG)”, HORIZON EUROPE, 2024-2026, PI
  2. Global Center: Electric Power Innovation for a Carbon-free Society (EPICS)”,  EPSRC, 2023-2028, Co-I (Collaborating with U of Edinburgh, U of Strathclyde, John Hopkins University, Georgia Tech, The University of Melbourne, and Monash University)
  3. Blockchain-enabled cloud-edge coordination for demand side management”, EPSRC, 2022-2023, PI
  4. ICT-enabled Platform for Development and Verification of Distributed Resilient Control of Cyber-Physical Power Systems”, The Royal Society, 2021-2022, PI
  5. "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)
  6. Short-term System Inertia Forecast - A Data-driven Approach”, National Grid ESO (through Network Innovation Allowance), 2019-2021, PI 
  7. 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)

Supervision

Current Ph.D. Students:

Ms Jemima Graham, “Hierarchical Forecasting for Power System Stability Management” 4th year, MSci from Imperial, UK

Mr Muhammand Sharjeel Javaid, “Stability Assessment and Enhancement of Power Systems Dominated by Inverter-based Resources”, 3rd year, (co-supervised with Dr. Balarko Chaudhuri, Dr. Zohaib Akhtar), MSc from King Fahd University of Petroleum and Minerals, Saudi Arabia

Mr Guoxuan Cui, “Optimal operation of power system with a combination of grid-forming and grid-following converters”, 3rd year, MSc from Imperial, UK

Mr Michael Nestor, “Holonic Power Distribution Network”, 2nd year, MEng from Oxford U, UK

Mr Le Fang, “Data-driven Approach for Stability Analysis and Management”, 1st year, MSc from Imperial, UK

Mr Wei Hong, “Quantum Computing for Uncertainty Management in Power Grid”, 1st year, MSc from Imperial, UK

Mr Wenze Lyu, “System Scheduling for Power Grid Protection under High Penetration of Invertor-Based Resources”, 1st year, MSc from Birmingham University, UK

Mr Kassem El Cheikh ali “Protection and Control for Power Grid with High Penetration of Invertor-Based Resources”, 1st year, (co-supervised with Dr Yunjie Gu, Prof Mark O’Malley)

Research Staffs

Dr Zhongda Chu, PhD from Imperial, UK

Dr Pudong Ge, PhD from Imperial, UK

Former Students/Staffs:

Mr Wangkun Xu, PhD student 2020-2024, Thesis: Blending data and model for robust and secure power system operation (co-supervised with Dr. Imad Jaimoukha),

Dr Saurab Chhachhi, PhD student 2019-2024, Thesis: Balancing Privacy and Data Access: An Interdisciplinary Approach to Markets for Differentially-Private Smart Meter Data,

Dr Pudong Ge, PhD student 2019-2023, Thesis: Resilience-Oriented Control and Communication Framework for Cyber-Physical Microgrids (Best Thesis Award, IEEE I&CPS), Current Position: RA at Imperial

Dr Cormac O’Malley, PhD student 2019-2023, Thesis: “Secure and cost-effective operation of low carbon power systems under multiple uncertainties” (Co-supervised with Prof Goran Strbac, Dr Luis Badesa), Current Position: Flexibility Analyst at Octopus Energy 

Dr Mingyu Yan, PostDoc, 2021-2022, PhD from IIT, USA, Current Position: Professor at Huazhong University of Science and Technology 

Dr Zhongda Chu, PhD student, 2018-2022, Thesis: Towards Optimal Operation of Power Systems with High IBG Penetration: A Stability-Constrained Optimization Approach (Best Thesis Award, IEEE PES UK&I), Current Position: PDRA at Imperial 

Dr Martin Higgins, PhD student, 2018-2021, Thesis: Operational Moving Target Defences for Improved Power System Cyber-Physical Security (co-supervised with Prof Thomas Parisini), Current Position: PDRA at Oxford U

Dr Evelyn Heylen, PostDoc, 2019-2020, PhD from KU Leuven, Current Position: Head of product innovation, Beebop.ai

Dr Luis Badesa, PhD student, 2016-2020, Thesis: Towards a Cost-Effective Operation of Low-Inertia Power Systems (Co-supervised with Prof Goran Strbac), Current PositionAssociate Professor at Technical University of Madrid

Prospective PhD Students:

PhD positions are available in the areas of 1. Power System Forecasting and Optimisation (with a Focus on Uncertainty and Stability Management), 2. Blending Data Analytics and Operational Research for Power Grid, 3. Cyber-physical Modelling of Future Power Systems and 4. Sustainable Digitalisation. 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 f.teng@imperial.ac.uk.

Applications will be assessed as received and all applicants should follow the standard College application procedure (indicating Dr Fei Teng as supervisor) (http://www3.imperial.ac.uk/pgprospectus/howtoapply).

ACADEMIC ACTIVITIES

  1. IEEE Senior Member, IET Member
  2. Members-at-Large, IEEE Technical Committee on Cyber-Physical Systems (CPS) and IEEE Technical Committee on Carbon Neutrality
  3. Associate Editor for 1) IEEE Transactions on Power System, 2) Control Engineering Practice, 3) IEEE Open Access Journal of Power and Energy, and 4) IEEE Power Engineering Letters.
  4. 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, 5) “Artificial Intelligence and Data Analytics for Smart Grids with High Penetrations of Renewables”, IET Energy Systems Integration 6) "Demand Response in Smart Energy Systems" Applied Energy, 7) "Virtual Power Plant with Flexible Resources" Applied Energy
  5. 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

Journals

Zhang H, Li R, Chen Y, et al., 2024, Risk-Aware Objective-Based Forecasting in Inertia Management, Ieee Transactions on Power Systems, Vol:39, ISSN:0885-8950, Pages:4612-4623

Chu Z, Cui G, Teng F, 2024, Scheduling of Software-Defined Microgrids for Optimal Frequency Regulation, Ieee Transactions on Sustainable Energy, ISSN:1949-3029

Xu W, Teng F, 2024, Task-Aware Machine Unlearning and Its Application in Load Forecasting, Ieee Transactions on Power Systems, ISSN:0885-8950

Liu M, Teng F, Zhang Z, et al., 2024, Enhancing Cyber-Resiliency of DER-Based Smart Grid: A Survey, Ieee Transactions on Smart Grid, ISSN:1949-3053

Wang Y, Qiu D, Teng F, et al., 2024, Towards microgrid resilience enhancement via mobile power sources and repair crews: a multi-agent reinforcement learning approach, Ieee Transactions on Power Systems, Vol:39, ISSN:0885-8950, Pages:1329-1345

More Publications