Abstract
Electric failures are a problem for customers and grid operators. Identifying causes and localizing the source of failures in the grid is critical. Here, we focus on a specific power grid in the Arctic region of Northern Norway. First, we collected data pertaining to the grid topology, the topography of the area, the historical meteorological data, and the historical energy consumption/production data. Then, we exploited statistical and machine-learning techniques to predict the occurrence of failures. The classification models achieve good performance, meaning that there is a significant relationship between the collected variables and fault occurrence. Thus, we interpreted the variables that mostly explain the classification results to be the main driving factors of power interruption. Wind speed of gust and local industry activity are found to be the main controlling parameters in explaining the power failure occurrences. The result could provide important information to the distribution system operator for implementing strategies to prevent and mitigate incoming failures.
Highlights
Looking at the distributions might help to assess which features are more important to identify the failures in the power grid
It is clear from the density plots that it is very difficult to discriminate the minority from the majority class considering each feature individually, as the distributions are similar
Failures have critical consequences for customers connected to the power grid, especially industries that are heavily dependent on having a stable power supply to avoid potential financial losses related to a power failure
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Failures in electricity supply from producers to customers affect anyone connected to the distribution grid [1–4]. In the case of the distribution system operator (DSO), power interruptions are considered as a breach of the contractual obligations with the consumers and result in financial penalties [5]. Electric failures alone can turn into serious losses whose estimates range from $22 to $135 billion annually [6–8]. Failures might have complex and adverse socioeconomic consequences in communities heavily reliant on the electricity supply [9,10]
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