摘要
电力系统中每秒会产生成千上万条数据,需要人工去排查这些数据中存在的异常数据并进行异常告警,但因人为漏检或误判而导致的电力系统潜在风险或故障无法得到及时预测和解决,此外由于其数据结构的多样性导致底层自动化无法复用。虽然RPA的技术在早些年前就已经开始在我国流行,但是大部分都应用在金融领域。本文尝试将RPA与电力系统相结合,在电网异常数据告警中进行探索以及应用。实施结果表明,将RPA技术和电力系统相结合,能够达到准确性100%,能有效解决当前电力系统所面临的人工误判等问题,同时可以将人工平均工作时间由原来的12 h降低为3 h,在节省人力的同时也能提高准确性。
Thousands of data are generated every second in the power system.It is necessary to manually check the abnormal data in these data and give abnormal alarm.However,the frequent misjudgment of human will lead to the failure of power system can not be solved in time.In addition,a single mode can not be used for multiple scenes because of the diversity of data structure.RPA technology has been popular in China since early years,but most of them are used in the financial field.Therefore,we try to combine RPA with power system to explore and apply it in power grid abnormal data alarm.The operation results show that the combination of RPA technology and power system can solve 100%of manual participation,and can effectively solve the problem of manual misjudgment faced by the current power system,the average working time of labor can be reduced from 12 hours to 3 hours.It can save manpower and improve the accuracy of.
作者
赵江河
杨莉
Zhao Jianghe;Yang Li(Electric Power Research Institute of Yunnan Power Grid Co.,Ltd.,Kunming 650214,China;Institute Of Information Engineering and Automation,Kunming University of Technology,Kunming 650504,China)
出处
《云南电力技术》
2022年第2期87-90,93,共5页
Yunnan Electric Power
