摘要
为降低光伏组件因积灰产生的经济损失,设计了一种基于组件清洗模型的智能机器人。机器人控制系统采用GD32F303为主控芯片,通过LORA实现机器人与上位机的通讯,SCADA系统进行数据处理,并以清洗维护费和电量损失费之和最低为目标函数,进而确定机器人最佳自主清洗周期,实现了对光伏电站分布式光伏组件的低成本清洗。结果表明,所设计的智能机器人具有良好的清洗效果和较低的清洗成本,对积灰1、3、7 d的光伏组件分别提高其输出功率3.95%、3.98%、4.02%。采用基于最佳周期清洗方式,清洗周期分别缩短了17.6、13.5 d,为16.5 d,年经济损失分别降低了74.18、70.74万元,为112.83万元,具有较高的经济性。
In order to reduce the economic loss of photovoltaic modules in photovoltaic power station due to ash deposition,a robot based on module cleaning model was designed.The robot control system uses GD32F303 as the main control chip,realizes the communication between the robot and the host computer through LORA,and the SCADA system conducts data processing.The goal function is to minimize the sum of cleaning maintenance costs and power loss costs,and then determine the optimal autonomous cleaning cycle of the robot,realizing low-cost cleaning of distributed photovoltaic modules in photovoltaic power plants.The test results showed that the designed robot had good cleaning effect and low cleaning cost,and the output power of photovoltaic modules with ash deposition for 1,3 and 7 days could be increased by 3.95%,3.98%and 4.02%respectively.The designed robot adopted the optimal cleaning cycle based on the optimal cleaning cycle model.The optimal cleaning cycle was shortened by 17.6 days and 13.5 days,respectively,to 16.5 days,and the annual economic loss was reduced by 741800 yuan and 707400 yuan,respectively,to 1128300 yuan,which has a high economy.
作者
姜爱民
张岩
童正
高升
JIANG Aimin;ZHANG Yan;TONG Zeng;GAO Sheng(Huadian Hubei New Energy Co.,Ltd.,Wuhan 430063,China)
出处
《粘接》
CAS
2023年第7期137-140,共4页
Adhesion
基金
华电湖北发电有限公司项目(项目编号:CHDKJ20-02-69)。
关键词
光伏电站
组件积灰
清洗机器人
组件清洗
photovoltaic power station
ash accumulation on components
cleaning robot
component cleaning
