Progress in Computing Applications(PCA)

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Progress in Computing Applications(PCA)

A Study of Air Temperature Impact on the Power System Load

Metodija Atanasovski, Mitko Kostov, Blagoja Arapinoski, Igor Andreevski
Faculty of Technical Sciences-Bitola St. Kliment Ohridski University, Republic of Macedonia

Abstract: We in this paper, studied the relation between the power system load and air temperature. The power system load obtained during the period 2014 and 2015 are used as input data for the study period. We found that the data available addressed the day period and variation in the hourly basis is not possible. We use air temperature as independent variable and the linear and nonlinear correlation coefficients are measured between minimum, mean and maximum load as dependent variables. We found during the testing that the there is a strong relation between air temperature and power system. We did a work of linear and nonlinear regression in order to find a relation between three typical loads and relevant air temperature.

Keywords: Power System Load, Air temperature, Regression A Study of Air Temperature Impact on the Power System Load

DOI:https://doi.org/10.6025/pca/2021/10/2/48-54

Full_Text PDF 433 KB Download: 179 times

References:

[1] https://www.wunderground.com/history
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[3] Davor Bajs, Metodija Atanasovski, Longterm Forecast Study of Electrical Energy and Power Balance and Adequacy Analysis of Transmission Network of Republic of Macedonia, Zagreb/Skopje EIHP, 2016.
[4] Svetozar Vukadinovic., Elements of Probability Theory and Mathematical Statistics, Belgrade, 1973.

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