Prediction of current in a substation in order to schedule thermography
2016 (English)Conference paper (Refereed)
It is important to predict the current in a line in the electrical grid for example when planning thermography or handling dynamic rating. This paper takes data from a Swedish substation from 10 years and applies analysis of variance (ANOVA) to construct a linear model. The factors are the time of the day, the day of the week and the week number.
About two thirds of the variance in the data can be explained by the model, but the means are too low to attain a current of at least one third of the current for which the equipment is rated. Thus the model is not good enough to plan thermography for the studied bay in the substation.
However the model is able to predict the current and can also be used to predict power flows in the electric network.
Place, publisher, year, edition, pages
Analysis of variance, infrared sensors, prediction algorithms, substations, thermography
Variansanalys, infraröda sensorer, prediktionsalgoritmer, elkraftsstationer, termografi
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject Electrical Engineering
IdentifiersURN: urn:nbn:se:kth:diva-193911OAI: oai:DiVA.org:kth-193911DiVA: diva2:1034458
PMAPS 2016 2016 International Conference on Probabilistic Methods Applied to Power Systems Oct. 16-20, 2016 Beijing, China
FunderSweGRIDS - Swedish Centre for Smart Grids and Energy Storage
QCR 201610172016-10-122016-10-122016-10-17Bibliographically approved