Short-term hydropower scheduling considering theturbine wear

This paper presents a methodology to incorporate the cost of the turbine wear in the optimization models used for the day-ahead energy and reserve scheduling of a hydropower plant. Two different optimization model formulations are proposed for this purpose. One considers the wear cost assuming the hydro unit operates in steady-state within each market programming period, and the other considers the wear cost taking into account the output power variations due to the provision of primary and secondary frequency control. The two model formulations are compared to a wear-unaware one by means of a set of computational experiments. The computational experiments comprise scenarios consistent with both the new regulation of the secondary frequency control service in Spain and the previous one so as to highlight the impact the new may have on the turbine wear. The results of the experiments show that the consideration of the turbine wear in the day-ahead energy and reserve scheduling yield different operational decisions and may result in a higher profit under certain operating conditions and price scenarios.