塔式太阳能热电站聚光集热系统优化设计方法

Optimization design of the heliostat and receiver system in a solar power tower plant

塔式太阳能热电站通过大规模定日镜场反射汇聚太阳光,加热传热介质进行发电。针对实际运行过程中存在溢出损失的问题,提出最优抛物面式子镜倾斜策略,建立最小化平准化接收器度电成本优化模型获得最优的接收器参数,并提出一种结合智能蒙特卡洛采样方法的自适应粒子群算法快速求解。仿真结果展示了聚光集热系统优化前后电站效率的提高以及成本的降低,验证了方法的有效性。

In a solar power tower plant,solar radiation is reflected by the heliostat field and concentrated in the receiver to heat medium for power generation.An optimal paraboloid heliostat canting method was presented to reduce the annual spillage reducing the operation efficiency of the plant and an optimization method for reducing the levelized receiver cost of energy was built to find the optimal receiver parameters.An adaptive particle swarm optimization combined with smart sampling Monte Carlo method was proposed to improve the solving speed.Simulation results show that the optimization method could reduce the levelized cost of the receiver significantly.