Handling non-convex heat-power feasible region in combined heat and power economic dispatch
The combined heat and power economic dispatch (CHPED) problem enhances the conversion efficiency from fossil fuels into electricity, eventually reducing the green house gas. However, the optimization formulation for a popular bench-mark example has not properly considered the constraint of heat-power feasible operating region so far. Thus, this study proposes a novel technique to consider the non-convex heat-power feasible region in the CHPED problem more accurately. This study divides the non-convex operating region into two convex operating sub-regions by introducing two binary variables indicating the searching region. In addition, more accurate results and better demand constraints are proposed to more fairly compare the results for this bench-mark problem in the future.
economic dispatch chped optimization genetic algorithm harmony search