Research On Optimal Scheduling Of Heliostat Field In Tower Solar Power Station

The concentrating system of tower solar photothermal power station is the energy source of the whole power station,which undertakes the important function of transforming radiant energy into heat energy.The condensing system is mainly composed of two parts: a heat sink and a heliostat field.The research on the simulation of the heatabsorbing surface imaging and the focusing scheme of the heliostat field is of great significance for improving the design of the heat sink,increasing the actual operating efficiency of the power station,and even the layout of the power station.Therefore,in order to obtain accurate heliostat imaging model and efficient and practical heliostat field scheduling strategy,this paper mainly completes the following work:(1)In this paper,a unified heliostat field coordinate system is established,and a series of models of the condenser subsystem are systematically built on this basis,including the sun model,the optical reflection model,and the physical model of the heliostat.(2)In order to simulate the imaging on the heat-absorbing surface under the assumption of non-parallel sun rays,this paper proposes a single-sided heliostat imaging calculation model combining ray tracing method and Monte Carlo method;In addition,it also explores the influence of factors such as the distance of the mirror tower and radiation conditions on the imaging of heliostats;Finally,the whole process of imaging calculation of heliostat field is given,and the simulation is carried out with the actual data.(3)The current research on the scheduling scheme of the heliostat field of the tower CSP station has the problems of over-simplification,ill-consideration of scheduling objectives,and incompatibility between the solution algorithm and the model.Therefore,this paper proposes a multi-objective scheduling model based on the total energy,uniformity,and the number of focus changes.In order to optimize the mathematical model of the heliostat field scheduling problem,this paper introduces the "number of focus changes" to measure the energy consumption and equipment wear of the scheduling.The non dominated sorting multi-objective genetic algorithm with elitist strategy(NSGA-II)is used to find the Pareto optimal solution set of the scheduling problem,and the final scheme is decided by the weighted maximum satisfaction method.(4)Based on the above work,the actual data is used to simulate the scheduling model and the solution algorithm at a single point in time and continuously run the simulation.The simulation results are very good.Compared with the existing scheduling models and algorithms,the practicability of the model is further verified.In addition,this article also briefly discusses the reasonable focus arrangement spacing of the heat absorption surface by adjusting the focus distance of the heat absorption surface.