塔式太阳能热电系统镜场调度的优化

发布时间：2018-04-13 23:04

本文选题：塔式太阳能热电系统 + 镜场调度　；参考：《浙江大学》2017年硕士论文

【摘要】：塔式太阳能热电系统是一种适合大规模发电的新能源利用方式,发展前景广阔。其中,由定日镜场和吸热器等关键设备组成的聚光集热子系统是整个电站的前端,其性能和效率对电站的运行和总发电量产出都有很大影响。定日镜场的调度直接决定每面定日镜在吸热器上聚焦点的位置,为保证电站平稳、高效、安全运行,对定日镜场调度的优化研究有着十分重要的现实意义,可为实际电站的运行提供参考。本文对塔式太阳能电站的定日镜场调度进行了优化,完成的主要工作如下:(1)建立定日镜转动能耗模型,为了在保证吸热器能流密度较均匀分布的前提下,实现吸热器的太阳能吸收功率最大化和定日镜因聚焦点变动产生的转动能耗最小化,建立定日镜场实时调度优化问题。采用多变异位自适应遗传算法求解这一优化问题,仿真结果表明优化后的定日镜场调度方案可以有效保障上述目标,有利于节能降耗。(2)考虑到定日镜场调度优化问题的求解速度需求,以及遗传算法的潜在并行性,利用现有的GPU和CUDA平台,将遗传算法并行实现,大幅度提高调度方案产生的实时性。仿真结果表明,GPU加速后的优化求解可以在保证遗传算法求解质量的前提下提高求解速度。(3)建立定日镜场调度时间间隔优化模型,在保证吸热器能流密度标准差不超过上限值的基础上,最优化一段时间内的吸热器吸收能量和定日镜转动能耗。为了便于求解,将时间间隔优化问题在一定条件下转化为嵌套形式的优化问题,外层优化问题利用禁忌算法求解,内层优化问题沿用镜场实时调度优化问题求解方法来求解。得到的优化后的时间间隔可以有效提高电站效率,最后分析了不同参数对最优调度时间间隔的影响。
[Abstract]:Tower solar thermal power system is a new energy utilization mode suitable for large-scale power generation.Among them, the collector subsystem composed of sun-fixing mirror field and heat absorber is the front end of the whole power plant. Its performance and efficiency have great influence on the operation of the power station and the output of the total power generation.In order to ensure the stable, efficient and safe operation of the power station, the scheduling of the sun-fixing mirror field directly determines the location of the focus of the sun-fixing mirror on the heat absorber. It is of great practical significance to optimize the scheduling of the sun-fixing mirror field.It can provide reference for actual power station operation.In this paper, the scheduling of the helioscope field of the tower solar power station is optimized. The main work accomplished is as follows: 1) the energy consumption model of the helioscope rotation is established, in order to ensure the uniform distribution of the energy flow density of the absorber.In order to maximize the solar energy absorption power of the absorber and minimize the rotational energy consumption caused by the focus change of the helioscope, the real-time scheduling optimization problem of the fixed day mirror field is established.The multi-mutation adaptive genetic algorithm is used to solve the optimization problem. The simulation results show that the optimized scheduling scheme of sun-fixed mirror field can effectively guarantee the above objectives.In consideration of the speed requirement of the scheduling optimization problem of fixed day mirror field and the potential parallelism of genetic algorithm, the genetic algorithm is implemented in parallel using the existing GPU and CUDA platforms.The real-time performance of the scheduling scheme is greatly improved.The simulation results show that the accelerated optimization of GPU can improve the speed of solution with the guarantee of the quality of genetic algorithm (GA)) and establish the optimal model of the scheduling time interval of the fixed day mirror field.On the basis of ensuring that the standard deviation of the energy flow density of the absorber does not exceed the upper limit, the energy absorption of the absorber and the energy consumption of the rotation of the helioscope are optimized for a period of time.In order to solve the problem easily, the time interval optimization problem is transformed into a nested optimization problem under certain conditions. The outer layer optimization problem is solved by Tabu algorithm, and the inner layer optimization problem is solved by the mirror field real-time scheduling optimization method.The optimized time interval can effectively improve the efficiency of the power station. Finally, the influence of different parameters on the optimal scheduling time interval is analyzed.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM615

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