基于遗传算法改进的太阳能跟踪控制

Improved Solar Tracking Control Modes Based on Genetic Algorithm

提出采用基于遗传算法的选择机制与吸热塔能量变化的反馈机制相结合的方式对光热电站的太阳能跟踪控制系统进行改进,以光热电站中少数几台配备光电检测元件的定日镜控制角度为基准,控制其他定日镜的角度调整。实验表明,改进的太阳能跟踪控制方式在保证光热电站整体控制精度的基础上,减少了光电检测元件的安装数量,降低了电站构建成本;同时使得控制系统在运行视日轨迹跟踪控制时具有自动调整能力。该研究将降低大规模光热电站的构建费用,促进太阳能光热发电的发展。

This paper adopts the combination of the selection mechanism of genetic algorithm and feedback mechanism of the changes of heat absorption tower energy to improve solar tracking control system. With solar thermal power plant which is equipped with photoelectric detecting element heliostat control angle as a benchmark, this paper proposes to control the adjustment of other heliostat angles. Experiments show that the improved way of solar tracking control reduced the number of the installation of photoelectric detecting elements and the costs of solar thermal power plant construction, while the overall control precision is without falling. At the same time the control system has the ability of automatic adjustment when it operating on the depending on trajectory tracking control. The study will reduce the costs of large-scale solar thermal power plant construction, promote the development of solar thermal power generation.