Scheduling scheme of heliostat field of tower solar power station based on NSGA-Ⅱ

GAO Weidong; LYU Lixia; WANG Ziqi; LIU Changliang

doi:10.19666/j.rlfd.202006207

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Scheduling scheme of heliostat field of tower solar power station based on NSGA-Ⅱ

更新时间：2025-09-28

- Scheduling scheme of heliostat field of tower solar power station based on NSGA-Ⅱ
- Thermal Power Generation Vol. 50, Issue 5, Pages: 94-101(2021)
- 作者机构：
  
  1. 华北电力大学控制与计算机工程学院
  2. 华北电力大学新能源电力系统国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202006207
  CLC： TP18;TM615
- Published：2021
- 稿件说明：
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GAO Weidong, LYU Lixia, WANG Ziqi, et al. Scheduling scheme of heliostat field of tower solar power station based on NSGA-Ⅱ[J]. Thermal power generation, 2021, 50(5): 94-101.
DOI：

GAO Weidong, LYU Lixia, WANG Ziqi, et al. Scheduling scheme of heliostat field of tower solar power station based on NSGA-Ⅱ[J]. Thermal power generation, 2021, 50(5): 94-101. DOI： 10.19666/j.rlfd.202006207.

摘要

针对目前塔式光热电站定日镜场调度方案存在过度简化、调度目标考虑不周、求解算法与模型不适配等问题

提出了以总能量、均匀度、焦点变化次数为指标的多目标调度模型。在优化定日镜场调度问题数学模型的同时引入焦点变化次数作为评价指标

这样能够反映调度能耗和设备磨损。运用带精英策略的非支配排序多目标遗传算法(NSGA-Ⅱ)作为调度算法求取问题的Pareto最优解集

然后以加权最大满意度法进行决策得到最终的调度方案。利用我国西部某太阳能电站数据对模型及求解算法进行单次运行和连续运行仿真

仿真结果表明本文方法在单次运行和连续运行中均能保持良好效果

通过与现有调度模型及算法的仿真对比进一步验证了模型的实用价值。

Abstract

To solve the problems of over simplification

poor consideration of scheduling objectives and unfitness of algorithm and model in the research of heliostat field scheduling scheme of tower photothermal power station

a multi-objective scheduling model is proposed

which is takes total energy

evenness and number of focus changes as indexes. The mathematical model of heliostat field scheduling problem is optimized

and the number of focus changes

which can reflect the scheduling energy consumption and equipment wear

is introduced. This paper uses the non dominated sorting multi-objective genetic algorithm(NSGA-Ⅱ) with the elitist strategy as the Pareto optimal solution set of the scheduling algorithm

and then applies the weighted maximum satisfaction method to make decisions to get the final scheduling scheme. By using the data of an optical thermal power station in the west of China

the single and continuous simulation of the model and the solution algorithm are performed

and the results indicate this method can keep good results in both single and continuous operation. The practical value of the model is further verified by comparing with the existing scheduling model and algorithm.

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