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文章摘要
基于大数据的配电网电压时空特性研究
Research on spatiotemporal characteristics of voltage in distribution network based on big data
Received:January 16, 2020  Revised:January 16, 2020
DOI:10.19753/j.issn1001-1390.2022.02.004
中文关键词: 电压合格率  时空特性  多源数据融合
英文关键词: qualified rate of voltage, spatiotemporal characteristics, multi-source data fusion
基金项目:中国南方电网有限责任公司科技项目“配电网低电压综合治理关键技术研究与示范—课题1”(ZBKJXM20170042)
Author NameAffiliationE-mail
huangyanlu* China South Power Grid Research Institute Co.LTD huangyanlugz@163.com 
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中文摘要:
      配电网供电电压合格率评价采用分类、抽样、加权计算区域电压合格率,存在以点带面,不能反映局部和时段特性等问题。融合配电SCADA系统、营销系统、地理信息系统等多源数据。提出户-变-线-站分层聚合,分析配电网电压的空间特性;基于高频的采样信息,提出分时段计算馈线、台变供电电压合格率,并识别警示时段,分析局部电压的时间特性。实现对配电网供电电压合格率的时空特性精细刻画。广西某配电网数据计算显示,提出的电压时空特性分析方法能够精确反映配电网电压细节,对馈线、台变供电电压不合格率进行排序,并识别出时段性低电压。
英文摘要:
      The method of classifying and sampling weighted calculation of the distribution network voltage qualification rate has the problems of using dots and planes, which cannot reflect the local range and time period characteristics. Multi-source data such as DSCADA system, marketing management system and GIS are integrated in this paper. A hierarchical aggregation of household-transformer-line-station is proposed to characterize the spatial characteristics of the distribution network voltage. Based on the high-frequency sampling information, it is proposed to calculate the qualified rate of the supply voltage of feeders and transformers in different periods, identify the warning period, and analyze the time characteristics of the local voltage, so that the time and space characteristics of the distribution network voltage can be accurately characterized. Calculations based on data from a distribution network in Guangxi show that the proposed method of voltage spatiotemporal characteristics can accurately reflect the voltage details of the distribution network, which realizes the sorting of the failure rate of the supply voltage of feeders and transformers, and identifies the period of low voltage.
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