自动化与仪器仪表2024,Issue(7) :176-179.DOI:10.14016/j.cnki.1001-9227.2024.07.176

考虑光伏接入的低压台区线损率异常检测技术

Low voltage substation area line loss rate anomaly detection technology considering photovoltaic access

高涵冰 宋新利 庞博 蒋春月
自动化与仪器仪表2024,Issue(7) :176-179.DOI:10.14016/j.cnki.1001-9227.2024.07.176

考虑光伏接入的低压台区线损率异常检测技术

Low voltage substation area line loss rate anomaly detection technology considering photovoltaic access

高涵冰 1宋新利 1庞博 2蒋春月1
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作者信息

  • 1. 国网冀北电力有限公司承德供电公司,河北承德 067000
  • 2. 国网冀北电力有限公司,北京 100054
  • 折叠

摘要

光伏发电接入配电网络过程中会相应产生线损,为了防止异常线损对低压台区运行带来的影响,需要对其进行准确检测,故本次研究提出了一种考虑光伏接入的低压配电台区馈线线损率异常检测技术.该方法首先分析光照强度与影响光照的因素,并在此基础对光伏发电实施建模,然后基尔霍夫电流定律构建配电台区模型,最后在平衡态和不平衡态的配电台区分别接入分布式光伏电源后,对其线损实施检测.实验结果表明,所提方法线损检测效率高、准确率高且误报率低,均优于对比方法,得到的检测效果更好,更适用于线损的日常检测.

Abstract

During the process of connecting photovoltaic power generation to the distribution network,there will be corresponding line losses.In order to prevent the impact of abnormal line losses on the operation of the low-voltage substation area,accurate detec-tion is needed.Therefore,this study proposes an abnormal detection technology for the feeder line loss rate of the low-voltage substa-tion area that considers photovoltaic connection.This method first analyzes the intensity of light and the factors that affect it,and based on this,models photovoltaic power generation.Then,Kirchhoff's current law is used to construct a distribution area model.Fi-nally,distributed photovoltaic power sources are connected to the balanced and unbalanced distribution areas,and their line losses are detected.The experimental results show that the proposed method has high efficiency,accuracy,and low false alarm rate in line loss detection,which is superior to the comparison method.The detection effect obtained is better and more suitable for daily line loss de-tection.

关键词

光伏接入/低压配电台/区馈线/线损率/异常检测

Key words

PV access/low voltage distribution station/area feeder/line loss rate/abnormal detection

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基金项目

国网冀北电力有限公司科技项目(520106220005)

出版年

2024
自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
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