Mixed integer programming of multiobjective hydro-thermal self scheduling

► This paper presents a method for hydro-thermal self scheduling (HTSS) problem in a day-ahead joint energy and reserve market. ► The HTSS is modeled in the form of multiobjective framework to simultaneously maximize GENCOs profit and minimize thermal units' emissions. ► The mixed integer nonlinear programming (MINLP) of HTSS is converted to mixed integer programming (MIP) problem. ► The modified augmented ɛ-constraint method is implemented to generate Pareto optimal solutions.