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配電線(xiàn)路拓撲及臺戶(hù)區分自校驗系統的研究
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國網(wǎng)安徽省電力有限公司滁州供電公司

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TP391

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Research on the Topology of Distribution Lines and the Self-checking System for Distinguishing Between Households
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    摘要:

    針對人工檢查低壓配電網(wǎng)拓撲關(guān)系帶來(lái)的管理難度和成本高的問(wèn)題,本文在分別在時(shí)域和頻域上比較了皮爾遜相關(guān)系數和灰色關(guān)聯(lián)分析,提出了一種實(shí)用的配電線(xiàn)路拓撲異常檢查方法,該方法利用從數據采集與監控系統和電力信息采集系統獲得的配電數據,使用皮爾遜相關(guān)系數來(lái)判斷用戶(hù)電壓序列曲線(xiàn)的相似性,采用灰色關(guān)聯(lián)法對用戶(hù)樣本集進(jìn)行分析,對中間節點(diǎn)的電壓變化確定了下游節點(diǎn)的異常位置,發(fā)現識別出站區標識錯誤的用戶(hù)。根據實(shí)驗驗證的結果,與灰色關(guān)聯(lián)分析法相比,皮爾遜相關(guān)系數不具有良好的魯棒性,而且會(huì )增加誤判的次數,采用頻域相似度的灰色關(guān)聯(lián)分析法得到配電線(xiàn)路拓撲校驗準確率達到99.9%,十分適用可靠。

    Abstract:

    In view of the management difficulty and high cost caused by manual inspection of low-voltage distribution network topology, this paper compares the Pearson correlation coefficient and gray correlation analysis in the time domain and frequency domain, and proposes a practical distribution line Topology anomaly inspection method. This method uses the distribution data obtained from the data acquisition and monitoring system and the power information acquisition system, uses the Pearson correlation coefficient to judge the similarity of the user voltage sequence curve, and uses the gray correlation method to analyze the user sample set , The voltage change of the intermediate node determined the abnormal position of the downstream node, and the user with the wrong station identification was found. According to the experimental verification results, compared with the gray correlation analysis method, the Pearson correlation coefficient does not have good robustness and will increase the number of misjudgments. The gray correlation analysis method of frequency domain similarity is used to obtain the distribution line topology verification The accuracy rate reaches 99.9%, which is very applicable and reliable.

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吳宗兵,董冉昊,廖蘇,張世權.配電線(xiàn)路拓撲及臺戶(hù)區分自校驗系統的研究計算機測量與控制[J].,2021,29(9):187-191.

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歷史
  • 收稿日期:2021-01-20
  • 最后修改日期:2021-03-15
  • 錄用日期:2021-03-15
  • 在線(xiàn)發(fā)布日期: 2021-09-23
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