Imperial College London

DrFeiTeng

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Lecturer
 
 
 
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Contact

 

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

 
 
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Location

 

1113Electrical EngineeringSouth Kensington Campus

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Summary

 

Summary

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 PERSEE, MINES ParisTech, France in 2017.

His research focuses on the efficient and resilient operation of future high IBG-penetrated cyber-physical energy systems. He has authored more than 80 scientific publications in leading power system journals and conferences. His research has been funded by EPSRC, ESRC, Innovate UK, Royal Society, EDF Energy, and National Grid ESO.

RESEARCH AREAS


  • Power System Operation with High Penetration of Inverter Based Generation (IBG)- Inertia Forecasting, Scheduling and Market Operation of High IBG-based Systems, Ancillary Service Provision from RES and DSR
  • Cyber-physical Energy Systems - Modelling and Control of Cyber-physical Systems, Cybersecurity and Data Privacy.

SELECTED RESEARCH GRANTS


  1. “Blockchain-enabled cloud-edge coordination for demand side management”, EPSRC, 2021-2022, PI
  2. “ICT-enabled Platform for Development and Verification of Distributed Resilient Control of Cyber-Physical Power Systems”, Royal Society, 2021-2022, PI
  3. The Royal-Imperial Black Box: A low cost and novel approach for enhanced power system cyber-security featuring moving target defence.”, Innovate UK, 2021-2022, PI (Collaborating with Prof Keith Mayes at Royal Holloway U)
  4. "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)
  5. "Consumer-centric Privacy Protection Scheme for Energy Consumption Data", EPSRC (through Supergen Energy Networks), 2019-2021, PI
  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 PhD Students (Primary supervision):

Mr Zhongda Chu, 4th year, MSc from ETH, Switzerland 

Mr Saurab Chhachhi, 3rd year, MEng from Imperial, UK

Mr Pudong Ge, 3rd year, MEng from Southeast University, China

Mr Wangkun Xu, 2nd year, MSc from Imperial, UK, (co-supervised with Dr. Imad Jaimoukha)

Ms Jemima Graham, 2nd year, MSc from Imperial, UK

Mr Drake Siard, 2nd year, MSc from Birkbeck College, UK, (co-supervised with Prof Richard Green)

Current PhD Students (Co-supervision):

Mr Cormac O'Malley, 3rd year, MEng from Oxford, UK, (co-supervised with Prof Goran Strbac)

Mr Muhammand Sharjeel Javaid,1st year, (co-supervised with Dr. Balarko Chaudhuri, Dr. Zohaib Akhtar),

PhD Students Awaiting VIVA:

Mr Martin Higgins, PhD Thesis: Operational Moving Target Defences for Improved Power System Cyber-Physical Security (co-supervised with Prof Thomas Parisini), Next Stop: RA at Oxford

Research Staffs

Dr Mingyu Yan, PhD from IIT, USA

Former Student/Staffs:

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

Dr Evelyn Heylen, PostDoc, 2019-2020, PhD from KU Leuven, Next Stop: Centrica

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 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
  2. Members-at-Large, IEEE Technical Committee on Cyber-Physical Systems (CPS)
  3. Members-at-Large, IEEE Technical Committee on Carbon Neutrality
  4. Committee member of CES and CSEE UK Branch.
  5. Associate Editor for 1) Control Engineering Practice, 2) IEEE Open Access Journal of Power and Energy, and 3) IET Energy Conversion and Economics
  6. 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. 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

Badesa L, Teng F, Strbac G, 2021, Conditions for regional frequency stability in power system scheduling—Part II: application to unit commitment, Ieee Transactions on Power Systems, Vol:36, ISSN:0885-8950, Pages:5567-5577

Chu Z, Zhang N, Teng F, 2021, Frequency-Constrained Resilient Scheduling of Microgrid: A Distributionally Robust Approach, Ieee Transactions on Smart Grid, Vol:12, ISSN:1949-3053, Pages:4914-4925

Badesa L, Teng F, Strbac G, 2021, Conditions for regional frequency stability in power system scheduling—Part I: theory, Ieee Transactions on Power Systems, Vol:36, ISSN:0885-8950, Pages:5558-5566

Xiang Y, Wang Y, Xia S, et al., 2021, Charging Load Pattern Extraction for Residential Electric Vehicles: A Training-Free Nonintrusive Method, Ieee Transactions on Industrial Informatics, Vol:17, ISSN:1551-3203, Pages:7028-7039

Zhao P, Gu C, Cao Z, et al., 2021, Data-Driven Multi-Energy Investment and Management Under Earthquakes, Ieee Transactions on Industrial Informatics, Vol:17, ISSN:1551-3203, Pages:6939-6950

More Publications