摘要
配电网台区关系识别在多个领域有着重要应用,如果台户关系不准确,会对电网线损分析、数据采集成功率、停电区域预判、三相不平衡治理、费控等一系列问题造成影响,这些问题与电力企业和用户的利益紧密相关。文中基于智能电能表采集的数据,提出了一种新的台户识别算法。该算法采用数据预处理提高数据质量、采用平均值克服延时的影响、结合方差进一步提高辨识质量,较传统算法数据计算量至少降低两个量级,能够识别出台户关系中对应的相位关系,且识别准确率更高。在大数据平台上运行该算法计算48个台区实际数据的台户关系,运行结果证明本算法单次计算准确率达到99%以上,累计识别准确率达100%,可以直接投入电网中使用,解决配电网台户关系识别困难的问题。
Distribution network station-area relationship identification has important applications in many fields.If the relationship between users is inaccurate,it will affect a series of problems,such as line loss analysis of power grid,data acquisition success rate,blackout area prediction,three-phase unbalanced governance,cost control and so on.These problems are closely related to the interests of power enterprises and users.Based on the data collected by smart meter,a novel algorithm for station-area relationship identification is proposed in this paper.This algorithm adopts data preprocessing to improve data quality,utilizes average value to overcome the influence of delay,and combines variance to further improve identification quality.Compared with the traditional algorithm,the data calculation amount of this algorithm is reduced by at least two orders of magnitude,and it can identify the corresponding phase relationship in the proposed station-area relationship,and the recognition accuracy is higher.Running the algorithm on the large data platform to calculate the relationship of 48 stations,the results show that the accuracy rate of single calculation is over 99%and the accumulative recognition rate is 100%.The algorithm can be directly used in the power grid to solve the problem of difficult identification of the relationship between station-area in the distribution network.
作者
宋晓林
黄璐涵
贺云隆
张院锋
陈利剑
陈玥
Song Xiaolin;Huang Luhan;He Yunlong;Zhang Yuanfeng;Chen Lijian;Chen Yue(Electric Power Research Institute of State Grid Shaanxi Electric Power Company,Xi’an 710054,China;Nanjing Jiyun Information Technology Co.,Ltd.,Nanjing 211200,China;School of Electrical Engineering,Xi’an Jiaotong University,Xi’an 710049,China)
出处
《电测与仪表》
北大核心
2020年第23期135-140,共6页
Electrical Measurement & Instrumentation
基金
国网陕西省电力公司资助项目(5226KY18002B)。
关键词
配电网
台户关系
电网数据采集
distribution network
station-area relationship
data acquisition of power grid
