Interactive best-compromise approach for operation dispatch of cogeneration systems

An interactive best-compromise approach is presented, based on evolutionary programming, to solve the economical operation of cogeneration systems under emission constraints. A biobjective function including both the minimisation of cost and emission is formulated. The cost model includes fuel cost and tie-line energy cost. Emissions with SO_x and NO_x are derived as a function of fuel enthalpy. All constraints including fuel mix ratios in a boiler, operational constraints and emission constraints must be met in the search process. The steam and fuel mix is found by considering the time-of-use dispatch between cogeneration systems and utility companies. Data from a real cogeneration system are given to illustrate the effectiveness of the proposed method