Detection and Localization of Faults in a Regional Power Grid

IF 0.6 Q4 STATISTICS & PROBABILITY

Austrian Journal of Statistics Pub Date : 2023-07-19 DOI:10.17713/ajs.v52i4.1511

P. Kokoszka, Mantautas Rimkus, Sanjay Hosur, Dongliang Duan, Haonan Wang

引用次数: 0

Abstract

The structure of power flows in transmission grids is evolving and is likelyto change significantly in the coming years due to the rapid growth ofrenewable energy generation that introduces randomness and bidirectionalpower flows. Another transformative aspect is the increasing penetrationof various smart-meter technologies. Inexpensive measurement devicescan be placed at practically any component of the grid. Using modeldata reflecting smart-meter measurements,we propose a two-stage procedure for detecting a fault in a regional powergrid. In the first stage, a fault is detected in real time. In the second stage,the faulted line is identified with a negligible delay. The approach uses onlythe voltage modulus measured at buses (nodes of the grid) as the input.Our method does not require prior knowledge of thefault type. The method is fully implemented in R.Pseudo code and complete mathematical formulas are provided.

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区域电网故障检测与定位

由于可再生能源发电的快速增长，引入了随机性和双向的电力流，输电网中的电力流结构正在演变，并可能在未来几年发生重大变化。另一个变革方面是各种智能电表技术的日益普及。便宜的测量装置可以放置在几乎任何组件的网格。使用反映智能电表测量的模型数据，我们提出了一种检测区域电网故障的两阶段程序。在第一阶段，实时检测故障。在第二阶段，以可忽略不计的延迟识别故障线路。该方法仅使用在总线(网格节点)测量的电压模量作为输入。我们的方法不需要对故障类型的先验知识。该方法在r中完全实现，并提供了伪代码和完整的数学公式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Austrian Journal of Statistics STATISTICS & PROBABILITY-

CiteScore

1.10

自引率

0.00%

发文量

审稿时长

24 weeks

期刊介绍： The Austrian Journal of Statistics is an open-access journal (without any fees) with a long history and is published approximately quarterly by the Austrian Statistical Society. Its general objective is to promote and extend the use of statistical methods in all kind of theoretical and applied disciplines. The Austrian Journal of Statistics is indexed in many data bases, such as Scopus (by Elsevier), Web of Science - ESCI by Clarivate Analytics (formely Thompson & Reuters), DOAJ, Scimago, and many more. The current estimated impact factor (via Publish or Perish) is 0.775, see HERE, or even more indices HERE. Austrian Journal of Statistics ISNN number is 1026597X Original papers and review articles in English will be published in the Austrian Journal of Statistics if judged consistently with these general aims. All papers will be refereed. Special topics sections will appear from time to time. Each section will have as a theme a specialized area of statistical application, theory, or methodology. Technical notes or problems for considerations under Shorter Communications are also invited. A special section is reserved for book reviews.