Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case

Eikeland, Odin Foldvik; Bianchi, Filippo Maria; Holmstrand, Inga Setså; Bakkejord, Sigurd; Santos, Sérgio F.; Chiesa, Matteo

doi:10.3390/en15010305

Cited by 11 publications

(7 citation statements)

References 24 publications

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“…This paper extends our previous study, which analyzed failure data from the year 2020 [12]. Previously, we exploited statistical and ML techniques to detect the causes of power interruptions and identified wind speed of gust and local industry activity to be the main controlling parameters.…”

Section: Introductionmentioning

confidence: 57%

“…The reported failures used in this study is logged by a power-quality (PQ) metering system. In our former study on failure detection [12], the failure data was based on a metering system that reports failures from substation monitoring. That metering system only reports events failure events when there is a power outage (90% drop in voltage magnitude from normal) on all phases in the threephase system.…”

Section: Reported Failuresmentioning

confidence: 99%

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Detecting the Linear and Non-linear Causal Links for Disturbances in the Power Grid

Eikeland

Bianchi

Holmstrand³

et al. 2022

Communications in Computer and Information Science

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Unscheduled power disturbances cause severe consequences for customers and grid operators. To avoid such events, it is important to identify the causes and localize the sources of the disturbances in the power distribution network. In this work, we focus on a specific power grid in the Arctic region of Northern Norway that experiences an increased frequency of failures of unspecified origin. First, we built a data set by collecting relevant meteorological data and power consumption measurements logged by power-quality meters. Then, we exploited machine-learning techniques to detect disturbances in the power supply and to identify the most significant variables that should be monitored. Specifically, we framed the problem of detecting faults as a supervised classification and used both linear and non-linear classifiers. Linear models achieved the highest classification performances and were able to predict the failures reported with a weighted F1-score of 0.79. The linear models identified the amount of flicker and wind speed of gust as the most significant variables in explaining the power disturbances. Our results could provide valuable information to the distribution system operator for implementing strategies to prevent and mitigate incoming failures.

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Section: Introductionmentioning

confidence: 57%

Section: Reported Failuresmentioning

confidence: 99%

Detecting the Linear and Non-linear Causal Links for Disturbances in the Power Grid

Eikeland

Bianchi

Holmstrand³

et al. 2022

Communications in Computer and Information Science

Self Cite

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“…According to Minnaar, Visser, and Crafford (2017), to reduce power outages, electricity supply companies need to make investments to upgrade their networks. This means that electricity utility companies must derive strategies to quickly identify faults that must be treated without much delay (Eikeland et al, 2022). In addition, according to Moura et al (2017), preventive maintenance demands keen attention to obtaining reliable electricity networks that will serve customers satisfactorily.…”

Section: Literature Reviewmentioning

confidence: 99%

The effect of electricity reliability on the sustainability of SMEs in Fako Division of Cameroon

Tapang,

Mbarika

2023

Annals of Human Resource Management Research

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Purpose: To investigate the effects of the reliability of electricity supply on the sustainability of SMEs in Cameroon. Research Methodology: This study investigates the effects of the reliability of electricity supply on the sustainability of SMEs in Cameroon. The study used a quantitative approach with the philosophical underpinnings of objectivist ontology and positivist epistemology. Primary data were obtained through closed-ended questionnaires that were responded to by 54 purposively sampled participants in the Fako division. The data were analyzed by Structural Equation Modeling (SEM) using SPSS 23 and SPSS Amos 24 software. Results: The study revealed that sporadic electricity supply interruptions, chronic electricity supply interruptions, and momentary electricity supply interruptions have no significant positive impact on the sustainability of SMEs in the Fako Division of the Southwest Region of Cameroon. Limitations: This study had a limitation in methodology, as it used a quantitative approach only. A better understanding of this study’s phenomenon can be achieved by adopting a mixed research method, where the qualitative aspect will provide a deeper understanding of the effects of other variables that affect SME sustainability. Contribution: Based on the results of this study, business managers will come to the understanding that the sustainability of their businesses is not dependent on the reliability of the electricity supply. This means that other variables responsible for the sustainability of businesses can be studied qualitatively.

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“…This requires investments by electricity utility companies to upgrade the electricity networks (Minnaar et al, 2017). Upgrading networks is coupled with strategies to help identify recurrent faults on the network that must be maintained without much delay to prevent subsequent breakdowns (Eikeland et al, 2022). Also, according to Chagas et al (2017), preventive maintenance demands keen attention to obtain reliable electricity networks that will serve customers satisfactorily.…”

Section: Electricity Supply Reliability and Impact On Business Sustai...mentioning

confidence: 99%

Moderating Effects of Weather Conditions on the Relationship Between Electricity Supply Reliability and Sme Sustainability

Tapang,

Enongene

2023

IJEK

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This paper aims to investigate the moderating effects of weather conditions on the relationship between electricity supply reliability and SME sustainability within the context of a developing country. The method used for analysis is a hierarchical regression with the use of SPSS AMOS 24 and slope analysis. SPSS 23 was used to test the assumptions for parametric analysis. Survey data was collected from a sample of 54 owners and managers of SMEs in the Fako Division of Cameroon. Findings revealed significant positive relationships between electricity supply reliability and SME sustainability and an insignificant positive relationship between weather conditions and SME sustainability. Furthermore, the results indicated that weather conditions moderate the relationship between electricity supply reliability and SME Sustainability in the Fako Division of Cameroon. The study found that the electricity utility company of Cameroon has the daunting task of ensuring a robust electricity supply network capable of withstanding harsh weather conditions to ensure regular electricity. The implications of the findings of the study are that prevailing weather has an influence on the reliability of electricity supply, which affects the operations of businesses. Furthermore, when the business operations of SMEs are affected, the economy of the country suffers significantly. The study recommends the involvement of the government and policymakers to institute measures to ensure the obligation of the electricity utility company to maintain minimal interruptions of electricity supply. This study’s contribution to the body of knowledge is embedded in developing a theoretical model that explains electricity supply reliability in Cameroon from a weather perspective.

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Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case

Cited by 11 publications

References 24 publications

Detecting the Linear and Non-linear Causal Links for Disturbances in the Power Grid

Detecting the Linear and Non-linear Causal Links for Disturbances in the Power Grid

The effect of electricity reliability on the sustainability of SMEs in Fako Division of Cameroon

Moderating Effects of Weather Conditions on the Relationship Between Electricity Supply Reliability and Sme Sustainability

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