变电站用VRLA蓄电池浅放电关键技术研究  

Research on Key Technologies of Shallow Discharge Test of VRLA Battery in Substation

作　　者：杨锋 赵丁锋 陆文旭 谭志广 YANG Feng;ZHAO Dingfeng;LU Wenxu;TAN Zhiguang(Yulin Power Supply Bureau of Guangxi Power Grid Co.,Ltd.,Guangxi Yulin 537000,China;Nanning Power Supply Bureau of Guangxi Power Grid Co.,Ltd.,Guangxi Nanning 530000,China;Guigang Power Supply Bureau of Guangxi Power Grid Co.,Ltd.,Guangxi Guigang 537100,China)

机构地区：[1]广西电网有限责任公司玉林供电局,广西玉林537000 [2]广西电网有限责任公司南宁供电局,广西南宁530000 [3]广西电网有限责任公司贵港供电局,广西贵港537100

出　　处：《广西电力》2021年第1期63-68,76,共7页Guangxi Electric Power

基　　金：广西电网有限责任公司职工创新项目(职创2020-97)。

摘　　要：针对变电站用VRLA蓄电池浅放电试验的蓄电池剩余电荷量预测、健康状态评价、终止放电条件等关键技术进行研究,形成的浅放电电池容量预测模型,并从浅放电的有效性和安全性出发,提出了终止放电的三个条件。文中利用二项式拟合预测模型,经迭代计算,预测蓄电池的容量。结果证明,用该方法预测蓄电池容量的相对误差小于6%,实际放电时间误差在30 min内,适用于工程实际。Aimed at the shallow discharge test of VRLA battery in substation,key technologies are researched including the prediction of battery remaining power,the evaluation of health state,and the condition of discharge termination and so on.And a shallow discharge battery capacity prediction model is built.Based on the effectiveness and security of shallow discharge,three conditions for discharge termination are proposed.The binomial fitting prediction model is used in this paper to predict the battery capacity by iterative calculation.The result proves that the relative error of the battery capacity prediction is less than 6%by using the method,and the actual discharge time error is within 30 minutes,which is suitable for project application.

关 键 词：VRLA蓄电池 浅放电 容量预测 终止放电 

分 类 号：TM912[电气工程—电力电子与电力传动]