Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering




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




1113Electrical EngineeringSouth Kensington Campus





Power System Operation with High Penetration of Inverter Based Generators

Inertia Forecasting, Stability Constrained System Scheduling and Market Design, and Ancillary Service Provision from RES and DSR:

- “Short-term System Inertia Forecast”, National Grid ESO (NIA_NGSO0020), 2019-2021, PI

- "Technology Transformation to Support Flexible and Resilient Local Energy Systems", EPSRC (EP/T021780/1), 2020-2023, Co-I

- F. Teng, V. Trovato, and G. Strbac, “Stochastic Scheduling with Inertia-dependent Fast Frequency ResponseIEEE Trans. Power Syst., 2016

- ZD. Chu, U. Markovic, G. Hug, and F. Teng, “Towards Optimal System Scheduling with Synthetic Inertia Provision from Wind Turbines”, IEEE Trans. Power Syst, 2020

- ZD.Chu and F. TengShort Circuit Current Constrained UC in the High IBG-Penetrated Power Systems”, IEEE Trans. Power Syst, 2021

Data-Driven Cyber-physical Power System

Cyber-physical System Modelling and Control, Wireless Communication, Security and Data Privacy:

-“Blockchain-enabled cloud-edge coordination for demand-side management”, EPSRC, 2021-2022, PI

- "Consumer-centric privacy protection scheme for energy consumption data", EPSRC (through Supergen Energy Networks, SENFC1-032), 2020, PI

- M. Higgins, F. Teng and T. Parisini “Stealthy MTD Against Unsupervised Learning-based Blind FDI Attacks in Power Systems”, IEEE Transactions on Information Forensics & Security, 2020

-PD. Ge, F. Teng, C Konstantinou and S. Hu “A Resilience-Oriented Centralised-to-Decentralised Framework for Networked Microgrids Management”, Applied Energy, 2021

-WK. XU, I. Jaimoukha and F. Teng, “Robust Moving Target Defence Against False Data Injection Attacks in Power Grids”, ArXiv, 2021