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利用大数据方法降低变电站空调用电损耗

Using Great Data to Reduce Air-conditionin Power-driven Loss for Substations
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摘要 目前在降低电网损耗方面对站用电损耗的研究一直被忽略,在站用电的负荷中只有空调的用电量可以控制而且节能的空间也很大。造成空调耗电量高的原因很多也很隐蔽,不容易发现。通过一些先进的计量设备和采样仪器,收集单台空调的耗电量、环境的温湿度等数据,再利用大数据方法发现空调耗电量大的隐蔽原因,及时进行整改,节能效果十分显著。 The study of reducing network loss for power-driven loss in the substation has been neglected. For the load in the substation,the air-conditioning quantity of electricity cau only be contralled and its space is very big. The reasons caused the air-conditioning ligh power consumption are much and covert,which is not Found. By using some advanced gauge device and sampling instruments,collect power consumption of single air conditioner and ambient humiture and then use qreat data method to find out the reason of great power consumption of the air conditioner,improving in time.The result of energy conservation is very remarkable.
作者 郑焜文 ZHENG Kun-wen(Xinshao County Power Supply Electric Power Co.Ltd.Branch Company,State Grid,Shaoyang 422900,China)
出处 《电气开关》 2018年第3期105-108,共4页 Electric Switchgear
关键词 大数据分析 站用电负荷 空调节能 电网损耗 great data analysis power load for substation air-conditioning energy conservation network loss
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