Decision Making Based on Tradeoff solving for Economic Emission Dispatch in Combined Heat and Power Environment

For better decision-making on the combined heat and power economic emission dispatch (CHPEED), this paper proposes a novel algorithm by enhancing the multi-objective evolutionary algorithm based on decomposition (MOEA/D), a representative multi-objective evolutionary algorithm with promising performance but not wildly adopted in optimizing the complex economic emission dispatch. Firstly, utilizing the Tchebycheff aggregate objective function (AOF) weighted with a group of evenly distributed weight vectors, the proposed algorithm transforms the original CHPEED problem approximately into a series of single-objective sub-problems. Given this, the solutions, i.e., the Pareto optimal solutions(POS), corresponding to each weighted subproblem respectively, represent the corresponding tradeoff preference between the fuel cost and the emission. Such tradeoff preferences are helpful for decision-making in practical engineering. Besides, in the proposed algorithm, an effective constrained optimization strategy is hybridized to meet the equality constraint, which leads to promising results in the simulations to encourage further studies.