基于多系统交互的配电网线损异常分析系统设计

Design of Distribution Line Loss Anomaly Analysis System Based on Multi System InteractionYang Xiaoyan 1Ma Dongdong2Dang Shihong3

摘要:

随着智能电网的快速发展,配电网线损异常问题日益复杂,为满足线损异常分析定位的高精度需求,提出基于多系统交互的配电网线损异常分析系统设计。根据系统的应用要求对其总体结构进行设计,在硬件方面,对线损数据进行实时采集并进行边缘计算处理,为线损异常诊断提供数据基础。软件部分,对线损数据进行离散度分析与线损特征提取,并利用潮流计算法确定理论线损值,进而对配电网的线损异常情况进行判断。整合SCADA、AMI(高级量测体系)、GIS(地理信息系统)和气象数据等多源系统,实现信息交互的比对分析,通过计算配电网台区用户的嫌疑系数确定用电异常用户,进而实现线损异常定位。系统性能测试结果表明,对于配电网线损异常检测的误报率低于0.75%,具有较高的应用精度。

Abstract:

With the rapid development of smart grids, the problem of abnormal distribution line losses is becoming increasingly complex. In order to meet the high-precision requirements of line loss anomaly analysis and positioning, a design of a distribution line loss anomaly analysis system based on multi system interaction is proposed. The overall structure of the system is designed according to the application requirements of the system. In terms of hardware, the line loss data is collected in real time and processed by the edge computing gateway, providing a data basis for the abnormal diagnosis of line loss. In terms of software, the dispersion analysis and feature extraction of line loss data are carried out, and the theoretical line loss value is determined using the power flow calculation method to judge the abnormal situation of line loss in the distribution network Integrate multiple systems such as SCADA, AMI (Advanced Measurement System), GIS (Geographic Information System), and meteorological data to achieve comparative analysis of information exchange. By calculating the suspicion coefficient of users in the distribution network area, identify users with abnormal electricity consumption, and then locate abnormal line losses. The system performance test results show that the false alarm rate for abnormal detection of distribution line losses is less than 0.75%, indicating high application accuracy.