Examination of the Optimal Equipment Planning Model of Heat and Power

Abstract

In the small-scale heat and power system like the micro grid, customers request the optimal equipment composition and optimal driving plan that can reduce the cost for introducing and driving generators and carbon-dioxide emissions, in consideration of the heat and power load in the area and the candidate of equipment. In this paper, the optimal equipment planning is modeled as a mixed integer linear programming. With this model we can calculate the equipment composition that put out the optimal output pattern according to the load pattern of given heat and power, and the list of the prepared equipment. To express the lower bound of the operating power of the generator, our model has a lot of integer variables, but we adjusted division of time to drive the generator by the load pattern, so we can solve that by a branch-and-bound approach in effective time.