Applied and Computational Mathematics Seminar

Seminar Details

Speakers:
Hannah Bloomfield and Daniel Drew
Affiliation:
University of Reading
Title:
Characterisation and predictability of weather-dependent power system variables
Time:
1PM Monday, 25 March 2019
Location:
SCN 1.25, O'Brien Centre for Science (North)

Abstract

We investigate the implications of increasing weather sensitivity on European power systems, in particular the UK. Multi-decadal hourly time series of meteorological re-analysis are used to construct synthetic demand, wind power and solar power data for 28 European countries. Multiple power system scenarios are analysed, informed by National Grid’s Future Energy Scenarios. These models are used to explore a range of events which may cause stress to the power system and the associated meteorological conditions. For example: annual peak demand, wind power ramps, periods of high renewables low demand (i.e., low inertia), and inter-annual variability of demand. Furthermore, the predictability of the meteorological events which are of most concern has been investigated for a range of lead times using various Numerical Weather Prediction (NWP) models.

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