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1.四川中电启明星信息技术有限公司,四川省成都市 610041
2.四川大学电气工程学院, 四川省成都市 610065
唐冬来(1980—),男,通信作者,高级工程师,主要研究方向:配电网量测、分析和信息化咨询等。E-mail:tangdonglai@sgitg.sgcc.com.cn
倪平波(1975—),男,硕士,高级工程师,主要研究方向:配电网运行、监控和企业经营等。E-mail:nipingbo@sgitg.sgcc.com.cn
张捷(1978—),男,高级工程师,主要研究方向:智慧物流模式研究、分析和信息化架构等。E-mail:zhangjie1@sgitg.sgcc.com.cn
收稿日期:2020-07-04,
修回日期:2020-11-13,
网络出版日期:2021-01-08,
纸质出版日期:2021-03-25
移动端阅览
唐冬来,倪平波,张捷等.基于离散弗雷歇距离的户变关系识别方法[J].电力系统自动化,2021,45(6):223-230.
TANG Donglai,NI Pingbo,ZHANG Jie,et al.Identification Method for Relationship Between Household Transformers Based on Discrete Frechet Distance[J].Automation of Electric Power Systems,2021,45(6):223-230.
唐冬来,倪平波,张捷等.基于离散弗雷歇距离的户变关系识别方法[J].电力系统自动化,2021,45(6):223-230. DOI: 10.7500/AEPS20200704003.
TANG Donglai,NI Pingbo,ZHANG Jie,et al.Identification Method for Relationship Between Household Transformers Based on Discrete Frechet Distance[J].Automation of Electric Power Systems,2021,45(6):223-230. DOI: 10.7500/AEPS20200704003.
针对高速电力线载波(HPLC)户变关系识别中的电表时钟漂移与共用零线台区识别信号串扰问题,提出了一种基于离散弗雷歇距离的户变关系识别方法。首先,构建配电台区户变关系辨识方法,在电压过零点时刻,向低压线路叠加改进多载波调频特征识别信号进行户变关系识别;其次,构建辨识特征数据清洗方法,消除辨识特征数据时间轴偏移对户变关系识别的影响;再次,构建户变关系校验方法,采用离散弗雷歇距离比较电表之间的电压曲线相似度,从而形成准确的户变关系,并建立配电台区由近及远的户变关系分布矩阵;最后,对中国四川某配电物联网示范区的现场应用结果表明,所述方法较HPLC户变关系识别准确度更高。
In order to solve the problem of clock drift of meters and identification signal crosstalk of common neutral line in the distribution station area during the identification of relationship between household transformers by high-speed power line carrier (HPLC)
an identification method for the relationship between household transformers based on discrete Frechet distance is proposed. Firstly
the identification method for the relationship between household transformers in the distribution station area is constructed. At the moment of voltage zero crossing
the improved identification signal of multicarrier frequency regulation characteristic is superimposed on the low-voltage line to identify the relationship between household transformers. Secondly
the cleaning method for the identification characteristic data is constructed to eliminate the influence of the time axis offset in the identification characteristic data on the identification of relationship between household transformers. Thirdly
the verification method for the relationship between household transformers is constructed. The discrete Frechet distance is used to compare the voltage curve similarity between meters
so as to form accurate relationship between household transformers. The distribution matrix of relationship between household transformers from near to far in the distribution station area is then established. Finally
the actual application results of a distribution Internet of Things demonstration area in Sichuan Province
China show that the proposed method is more accurate than HPLC in the identification of relationship between household transformers.
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