A hybrid algorithm for the unit commitment problem with wind uncertainty

This paper applies the sine cosine algorithm to the operation planning of wind-penetrated thermoelectric systems considering wind-related uncertainties, which is a mixed-integer nonlinear programming problem often referred to as thermal unit commitment with power integration. The proposed method, denominated hybrid sine cosine algorithm (HSCA), is based on heuristic information derived from sensitivity indexes obtained from priority lists and power dispatch evaluations regarding the thermoelectric system operation. Wind uncertainty was managed by two methodologies, which are extensions of the HSCA, through a set of predicted generation scenarios. One is based on the median wind power generation (M-HSCA), whereas the other is based on the probability distribution matrix (PDM-HSCA). Results have shown that the proposed method is reliable since it guarantees the attendance of all constraints. Furthermore, concerning the operational cost values obtained, it proved itself competitive when compared to other methods found in the literature.