Dynamic reserves quantification for variable time resolution scheduling

The increased penetration of renewables in the power generation mix increases the uncertainty and variability in power system scheduling and operation. Variability and uncertainty are met in different volumes and in different time scales. To face these challenges, system operators schedule increased reserves and use unit commitment models with sub-hourly intervals. The authors have presented in recent work a unified unit commitment and economic dispatch model that uses variable time resolution to face increased uncertainty. In this paper a dynamic reserve quantification method, adapted to the particularities of this model, is proposed based on probabilistic analysis of 2013 data of the Greek Interconnected Power System. Reserves are also quantified for additional scenarios with higher wind penetration using the proposed method. The results show how the increased wind power penetration affects the different reserve types.