I am a lecturer in the Department of Electrical and Electronic Engineering at Imperial College London. I graduated with BEng from Beihang University, China in 2009 and obtained MSc and PhD at Imperial College in 2010 and 2015, respectively. I then worked a Research Associate at Imperial College from 2015 to 2017 and an Assistant Professor in Smart Grids at MINES ParisTech in 2017.
My research mainly focuses on the advanced modelling, optimization and analysis of low carbon power system operation and planning. I have been previously involved in multiple EU/UK research and industrial projects to understand the challenges on the future low-carbon electricity system and the potential solutions from emerging flexible technologies. I have authored more than 20 scientific publications in leading power system journals and conferences. I received the best paper award in POWER-GEN Europe in 2013 and Chinese Government Award for Outstanding Self-financed Students Abroad in 2015. I was also sponsored by Newton Funds Researcher Links Travel Grant in 2016.
PhD studentship is available in the areas of Power System Operation and Planning, Uncertainty Modelling and Optimisation. To apply for this position, applicants should have a Distinction/First class grade Master’s degree in electrical engineering or a related field, and good communication and technical writing skills. Strong knowledge in optimization, programming and mathematics are desired.
The studentship provides a (tax-free) bursary of £16,553 (Standard RCUK Bursary rate) per annum for up to 3.5 years to cover living expenses, together with the College tuition fees at the UK/EU rate for 3 years. Applications from Overseas will also be considered, but other funding source has to be arranged.
Informal enquiries and requests for additional information for this post can be made to Dr Fei Teng by email at email@example.com.
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).
1. SMART-SAFE: sequential modelling, analysis and reporting toolkit for system adequacy and flexibility (HubNet Flexifund, 2016-2018)
2. Provision of ancillary services in future low-carbon UK electricity system (EDF SPARK Fund, 2016)
3. Role of Energy Storage in Enhancing Operation and Stability Performance of Sustainable Power Systems (UK - China Joint Project, 2014 – 2017)
4. eStorage (European Commission, 2012-2017)
5. Grid Economics, Planning and Business Models for Smart Electric Mobility (UK - China Joint Project, 2013 – 2015)
6. Strategic Assessment of the Role and Value of Energy Storage Systems in the UK Low Carbon Energy Future (UK Government,2012)
7. Integrating Reserve Requirements in Network Planning (National Grid, 2012)
8. Benefits of flexible generation technologies in supporting integration of renewable generation (Alstom Power, Switzerland, 2011-2013)
et al., 2017, Opportunities for Energy Storage, Ieee Power & Energy Magazine, Vol:15, ISSN:1540-7977, Pages:32-41
et al., 2017, Challenges on primary frequency control and potential solution from EVs in the future GB electricity system, Applied Energy, Vol:194, ISSN:0306-2619, Pages:353-362
Teng F, Strbac G, 2017, Full Stochastic Scheduling for Low-Carbon Electricity Systems, Ieee Transactions on Automation Science and Engineering, Vol:14, ISSN:1545-5955, Pages:461-470
Teng F, Strbac G, 2016, Assessment of the Role and Value of Frequency Response Support From Wind Plants, Ieee Transactions on Sustainable Energy, Vol:7, ISSN:1949-3029, Pages:586-595
trovato, Teng F, Strbac G, 2016, Value of Thermostatic Loads in Future Low-Carbon Great Britain System, Power Systems Computation Conference (PSCC), 2016, IEEE