Renewable resource dataset generators

Designing flexible networks to cope with the broad range of plausible scenarios for the future of the electricity system in Great Britain (GB) demands adequate and appropriate renewable resource data. This paper reports on research aimed at developing algorithms capable of producing synthetic time series datasets of arbitrary length to represent the variable renewable resources available to generators. Attention to date has been on the wind resource, as this is the dominant technology. The algorithms will produce the datasets using time series models - building upon an existing `Bath Wind Model´ methodology, but modelling the resources as seasonal long memory processes. The datasets will be suitable for a range of studies, but particularly system adequacy studies using Monte-Carlo simulation.