摘要
针对电站直流充电桩能效计量,采用以往预测方法会受到冲击性、非线性负载干扰因素的影响,存在预测误差大的问题,为此提出了一种电站直流充电桩能效计量智能预测方法。以k7812-500r3型号电源为主要供电渠道,分析充电桩充电原理。根据该原理设计充电桩接入电源的方式,对计量点进行选择,分析不同计量点的损耗功率,计算整流器损耗,以解决干扰问题。在获取整体损耗后,进行能效计量预测,由此获取预测结果。通过实验对比结果可知,该方法比传统方法的预测误差小,能够为充电节能降损工作提供依据。
Aiming at the energy efficiency measurement of DC charging piles in power plants,the impact and non-linear load interference factors will affect the previous prediction methods,and there are large prediction errors. Therefore,an intelligent prediction method for energy efficiency measurement of DC charging piles in power plants is proposed. Taking k7812-500 r3 power supply as the main power supply channel,the charging principle of charging pile is analyzed. According to this principle,the way of charging pile connecting to power supply is designed,the measuring points are selected,the loss power of different measuring points is analyzed,and the rectifier loss is calculated to solve the interference problem. After the overall loss is obtained,the energy efficiency measurement prediction is carried out to obtain the prediction results. The experimental results show that the prediction error of this method is smaller than that of the traditional method,and it can provide a basis for energy saving and loss reduction of charging.
作者
吴丹
赵婉茹
张永康
WU Dan;ZHAO Wan-ru;ZHANG Yong-kang(State Grid Shanghai Municipal Electric Power Company,Shanghai 200120,China;Customer Service Center of State Grid Shanghai Municipal Electric Power Company,Shanghai 200030,China)
出处
《电子设计工程》
2020年第3期157-161,共5页
Electronic Design Engineering
基金
上海科技厅项目(047500HK31180006)。
关键词
电站
直流充电桩
能效计量
智能预测
计量点
power station
DC charging pile
energy efficiency measurement
intelligent prediction
measurement point
