Due to significant rise of interest of renewable energy sources intended for the need of environmental sustainability and to balance the decreasing availability of fossil fuels, the penetration of renewable units with minimum amount of conventional sources has increased tremendously over the last ten years as the production of the renewable units are uncertain and variable which depends on meteorological phenomena. Their participation to capitalize on the profit of the owners needs optimal scheduling of the plant. Moreover, a promising elucidation to abolish the adverse impacts of the uncertainty of the generation reserve market having capacity and energy prices are incorporated in this research work. This leads to analyze a model for a decision making problem through mixed integer linear programming optimization. Here in this paper it has been revealed through the Day-Ahead electricity market, that a deterministic planning approach with a three-hour planning horizon for the specific volume of power is to be merchandized in the market. Here, the energy prices are considered for the up and down reserve with their respective confidence bounds, along with the technical and monetary data of the plants. The optimization problem is solved through an algorithm of the branch and bound in MATLAB version 2015A. The uniqueness is focused through the calculation of up and down reserves and deployment requests which focus on here-and-now decisions. This paper finally concludes with use of flexibility as reserve markets, the total power production is deployed and traded to earn a significant profit.