塔式太阳能热发电系统镜场调度方法的研究  

RESEARCH ON DISPATCHING HELIOSTATS IN SOLAR POWER TOWER PLANT

作　　者：辛秋霞[1] 卞新高[1] 杨缝缝[1] 

机构地区：[1]河海大学机电工程学院,常州213022

出　　处：《太阳能学报》2010年第3期317-322,共6页Acta Energiae Solaris Sinica

摘　　要：提出一种塔式太阳能热发电系统中定日镜调度的方法。根据太阳、定日镜和接收面的光学成像关系,考虑太阳位置、镜面反射率和能见度等因素给出了镜场光能转换效率的计算方法,同时结合定日镜场状态及热力系统所需光功率建立了镜场调度模型。该文将定日镜的调度转化为一个0-1背包问题,设计了一种混合遗传算法来对其求解。采用该调度方法可得到各时刻转换效率最高时所需调用的定日镜数量及其分布,并可调整定日镜瞄准接收靶上分布的目标点,使吸热器上能流分布均匀,降低峰值能流密度,避免过热故障。仿真算例结果表明了该方法的有效性。A method of dispatching heliostats in solar tower thermal power was propounded.On the basis of the optic imaging effect among solar, heliostats and receiver, the authors analyzed the efficiency of heliostats field by considering solar position, reflectivity of heliostat, visibility etc., then established a model for dispatching heliostats, joined with the statue of heliostats field and demanded quantity of illumination.This article converted the dispatching matter to a zero-one knapsack problem and designed a hybrid genetic algorithm to resolve it.By using this algorithm, the definite required heliostats and flux distribution on the receiver can be got when conversion efficiency is the best.After adjusting the aim point of each heliostat, the uniform flux distribution can be achieved, thus avoiding overheat breakdown of receiver.The experiment on an emulation system was presented and the results shown that the algorithm is feasible.

关 键 词：太阳能 镜场调度 混合遗传算法 能流密度分布 

分 类 号：TK519[动力工程及工程热物理—热能工程]