CAP Research Roulette
Seminars run by PhD students and postdocs with the Control and Power Group
Every week, an invited speaker gives a talk on a relevant topic (preferably in control and power) consisting of a 20-minute presentation followed by a 10-minute discussion. The content of talks can be
- conference contributions,
- initial research proposals,
- preparation for Early Stage Assessment/Late Stage Review, or
- tutorials on topics of the speaker's expertise.
After the talk, the participants can enjoy coffee and snacks (funded by the group) together in the Faraday Cage on EEE Level 6 and continue the discussion.
The CAP Research Roulette is open to everyone in the Control and Power Group. MSc students from Control Systems and Future Power Network Courses, who are willing to continue pursuing an academic career, are also strongly encouraged to participate.
Talk of the week
Title: Risk-Limited Scheduling of Frequency Response from Aggregate EV Fleets with Uncertain EV Connectivity Forecasts
Speaker: Cormac O’Malley
Venue: EENG 909B and MS Teams
Date and Time: Monday, 29/11/2021, 14:00-14:30
Abstract: The rate of change of frequency is determined by the instantaneous power balance between generation and demand. Post generator outage, demand is higher than generation so the frequency drops. Frequency response is activated to provide a net power injection that aims to arrest frequency decline by restoring the power balance. The required amount of frequency response depends on the level of system inertia, which covers the transient power deficit by extracting kinetic energy stored within synchronous rotating masses (like thermal plant turbines).
Future power systems will be characterised by low inertia due to the displacement of fossil fuel generators synchronous (SGs) by converter interfaced generation (CIG) like wind and solar plants. Thus, the response requirement is rising and new resources to provide it must be found. Parked electric vehicles (EVs) have the potential to provide abundant low-cost response, but their maximum capacity is intrinsically uncertain due to user driving patterns. This talk presents our recent work on the risk-limited scheduling of response from distributed EVs. Utilising a distributionally robust chance-constrained framework to guarantee a level of frequency security under ambiguous forecasted EV fleet connectivity.
Biography: Mr. Cormac O’Malley received the MEng degree in Engineering Science from the University of Oxford, U.K, in 2018. He is currently pursuing a Ph.D. in Electrical Engineering at Imperial College London, U.K. His research interests lie in modelling and optimisation of low carbon power grid operation.
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