基于电能量数据分析的配电网线损异常检测
istribution Network Line Loss Exceptions Detection Based on Electric Energy Data
电能量数据不仅包含了基本的用电和配电信息,还隐含了许多电网本身的状态信息。通过分析电能量数据和各类型线损异常的特点,提出基于电能量数据分析的配电网线损异常检测方法,该方法设计出线损日波动指标用以衡量线损波动情况,发现线损异常线路,针对异常线路,选用数据缺失情况、档案关系变化情况和用电量特征等对线损异常的原因进行分析,得出档案差错、数据缺失、线路停电和设备故障等异常原因。
Electric energy data contains not only power information but also power grids' state information. Analyzing various exceptions characteristics of electrical energy line loss, this paper proposes a method for detecting distribution network line loss exceptions based on electric energy data. The method designs line loss daily fluctuation indexes for measuring line loss fluctuations and finding abnormal lines. For every abnormal line, the method would induce the reasons of file errors, data missing, power cuts and equipment failures.
刘昌斯、陆月明、陈航
输配电工程电气测量技术、电气测量仪器
电力计量自动化电能量数据配电网线损线损异常检测
power metering automation system electric energy data distribution network line loss line loss exceptions detection
刘昌斯,陆月明,陈航.基于电能量数据分析的配电网线损异常检测[EB/OL].(2016-07-26)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201607-257.点此复制
评论