Multi-objective Load Optimal Dispatch and Decision-making Guidance of Power Plant

The traditional model of load dispatch was modified, three objectives which include power coal consumption rate of the whole plant, pollution emission and load adjusting time were considered simultaneously and a multi-objective plant load dispatch model was established. The multi-objective optimization and decision guidance problem was studied through a hybrid approach which was combined multi-objective optimization algorithm with multiple attributes decision making method. According to the local convergence of nondominated sorting genetic algorithms-II (NSGA-II), a new parallel NSGA-II multi-objective optimization structure was proposed. The diversity of Pareto front was increased and more abundant information for decision-making was provided. The Pareto solution set was sorted and the optimal solution was obtained by introducing method of multi-object decision-making based on maximum deviations and entropy. A case study of a power plant was carried out. The result shows that this method is practical and it can accomplish multi-objective plant load dispatch accurately and quickly. Finally the correct guidance is provided.