| 引用本文: | 郑楷迪,缪希仁,林雨润,黄灿水.基于最大互信息系数的低压光伏台区用户相序辨识方法[J].电力自动化设备,2024,44(12):108-114. |
| ZHENG Kaidi,MIAO Xiren,LIN Yurun,HUANG Canshui.Phase sequence identification method for users in low-voltage transform district with photovoltaic based on maximal information coefficient[J].Electric Power Automation Equipment,2024,44(12):108-114. |
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| 摘要: |
| 针对高比例分布式光伏接入低压台区所导致的用户相序难以准确辨识的问题，依托于高级量测体系获取的用电数据，提出一种基于最大互信息系数(MIC)的低压光伏台区用户相序辨识方法。根据低压光伏台区的拓扑结构对用电信息的空间特性进行分析，基于用户电压所确定的数学表达式，挖掘用户相序的深层物联信息；结合工程实际，采用时间序列筛选机制，选取用户电压序列和台区配电变压器低压侧三相电流序列，以此构建低压光伏台区用户相序辨识特征；针对传统相关性表征方法的不足，引入MIC对相序辨识特征的三相关联度分别进行度量，根据MIC的数值大小对用户相序进行判别；基于低压光伏台区的实际数据进行算例分析，验证所提方法的有效性与可靠性。 |
| 关键词: 低压光伏台区 相序辨识 最大互信息系数 高级量测体系 |
| DOI：10.16081/j.epae.202410001 |
| 分类号:TM73 |
| 基金项目:国家自然科学基金资助项目(51677030)；省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学)开放课题基金资助项目(EERI_KF2020005)；福建省高校产学合作项目(2023H6006) |
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| Phase sequence identification method for users in low-voltage transform district with photovoltaic based on maximal information coefficient |
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ZHENG Kaidi, MIAO Xiren, LIN Yurun, HUANG Canshui
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College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
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| Abstract: |
| Aiming at the problem that the users’ phase sequence is difficult to identify accurately due to the connection of high proportion of distributed photovoltaic to low-voltage transform district, a phase sequence identification method for users in low-voltage transform district with photovoltaic based on maximal information coefficient(MIC) is proposed, relying on power consumption data obtained by the advanced metering infrastructure. According to the topology structure of the low-voltage transform district with photovoltaic, the spatial characteristics of power consumption information are analyzed, and the deep interconnection information of the users’ phase sequence is mined based on the mathematical expression determined by the user’s voltage. Combined with the actual engineering practice, the time series screening mechanism is used to select the users’ voltage sequence and the three-phase current sequence on the low-voltage side of the distribution transformer district with photovoltaic, so as to construct the phase sequence identification features of the users in the low-voltage transform district with photovoltaic. In view of the shortcomings of traditional correlation characterization methods, the MIC is introduced to measure the three-phase correlation degree of phase sequence identification features, and the users’ phase sequence is distinguished according to the value of MIC. The validity and reliability of the proposed method are verified by the example analysis based on the actual data of low-voltage transform district with photovoltaic. |
| Key words: low-voltage transform district with photovoltaic phase sequence identification maximal information coefficient advanced metering infrastructure |
