To solve the problems of over simplification

poor consideration of scheduling objectives and unfitness of algorithm and model in the research of heliostat field scheduling scheme of tower photothermal power station

a multi-objective scheduling model is proposed

which is takes total energy

evenness and number of focus changes as indexes. The mathematical model of heliostat field scheduling problem is optimized

and the number of focus changes

which can reflect the scheduling energy consumption and equipment wear

is introduced. This paper uses the non dominated sorting multi-objective genetic algorithm(NSGA-Ⅱ) with the elitist strategy as the Pareto optimal solution set of the scheduling algorithm

and then applies the weighted maximum satisfaction method to make decisions to get the final scheduling scheme. By using the data of an optical thermal power station in the west of China

the single and continuous simulation of the model and the solution algorithm are performed

and the results indicate this method can keep good results in both single and continuous operation. The practical value of the model is further verified by comparing with the existing scheduling model and algorithm.