Application of data analysis techniques for characterization and estimation in electrical substations

IF 2.6 4区 工程技术 Q3 ENERGY & FUELS Frontiers in Energy Research Pub Date : 2024-08-27 DOI:10.3389/fenrg.2024.1372347
Oscar A. Bustos-Brinez, Alvaro Zambrano-Pinto, Javier Rosero Garcia
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Abstract

With the continued growth of smart grids in electrical systems around the world, large amounts of data are continuously being generated and new opportunities are emerging to use this data in a wide variety of applications. In particular, the analysis of data from distribution systems (such as electrical substations) can lead to improvements in real-time monitoring and load forecasting. This paper presents a methodology for substation data analysis based on the application of a series of data analysis methods aimed at three main objectives: the characterization of demand by identifying different types of consumption, the statistical analysis of the distribution of consumption, and the identification of anomalous behavior. The methodology is tested on a data set of hourly measurements from substations located in various geographical regions of Colombia. The results of this methodology show that the analysis of substations data can effectively detect several common consumption patterns and also isolate anomalous ones, with approximately 4% of the substations being identified as outliers. Therefore, the proposed methodology could be a useful tool for decision-making processes of electricity distributors.
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变电站特征描述和估算中数据分析技术的应用
随着智能电网在全球电力系统中的持续发展,大量数据不断产生,并出现了将这些数据用于各种应用的新机会。特别是,对配电系统(如变电站)数据的分析可以改进实时监控和负荷预测。本文介绍了一种变电站数据分析方法,该方法基于一系列数据分析方法的应用,旨在实现三个主要目标:通过识别不同类型的消费来描述需求特征、对消费分布进行统计分析以及识别异常行为。该方法在位于哥伦比亚不同地理区域的变电站的每小时测量数据集上进行了测试。该方法的结果表明,对变电站数据的分析可以有效地检测出几种常见的用电模式,同时也能分离出异常的用电模式,约有 4% 的变电站被识别为异常值。因此,建议的方法可以成为配电商决策过程中的有用工具。
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来源期刊
Frontiers in Energy Research
Frontiers in Energy Research Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
3.90
自引率
11.80%
发文量
1727
审稿时长
12 weeks
期刊介绍: Frontiers in Energy Research makes use of the unique Frontiers platform for open-access publishing and research networking for scientists, which provides an equal opportunity to seek, share and create knowledge. The mission of Frontiers is to place publishing back in the hands of working scientists and to promote an interactive, fair, and efficient review process. Articles are peer-reviewed according to the Frontiers review guidelines, which evaluate manuscripts on objective editorial criteria
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