Obtaining a reliable model that takes into account the counting nature of outages occurrence in Medium Voltage (MV) lines is a very prominent issue for Distribution System Operators (DSO). As a matter of fact in distribution system planning and management, accurate assessment of reliability performance is essential for making informed decisions. In addition, performance based regulation directs towards a more deep understanding of differences in reliability performance between networks. In this paper two Negative Binomial regression models are proposed for modelling yearly long and short duration outages occurrence in MV feeders; consequently a Monte Carlo simulation is performed in order to obtain a confidence interval for the yearly number of interruptions in a collection of feeders. The results are compared to real failure data from a distribution cluster of feeders in Italy.

Medium voltage power lines: Outages data analysis and modelling / Catelani, M.; Ciani, L.; Fossi, A.; Giorgi, A.; Battistone, A.; D’Adamo, C.; Fioriti, G.. - STAMPA. - (2015), pp. 1-5. (Intervento presentato al convegno 21st IMEKO World Congress on Measurement in Research and Industry tenutosi a Prague; Czech Republic nel 30 August 2015 through 4 September).

Medium voltage power lines: Outages data analysis and modelling

CATELANI, MARCANTONIO;CIANI, LORENZO;
2015

Abstract

Obtaining a reliable model that takes into account the counting nature of outages occurrence in Medium Voltage (MV) lines is a very prominent issue for Distribution System Operators (DSO). As a matter of fact in distribution system planning and management, accurate assessment of reliability performance is essential for making informed decisions. In addition, performance based regulation directs towards a more deep understanding of differences in reliability performance between networks. In this paper two Negative Binomial regression models are proposed for modelling yearly long and short duration outages occurrence in MV feeders; consequently a Monte Carlo simulation is performed in order to obtain a confidence interval for the yearly number of interruptions in a collection of feeders. The results are compared to real failure data from a distribution cluster of feeders in Italy.
2015
Proc of 21st IMEKO World Congress on Measurement in Research and Industry
21st IMEKO World Congress on Measurement in Research and Industry
Prague; Czech Republic
30 August 2015 through 4 September
Catelani, M.; Ciani, L.; Fossi, A.; Giorgi, A.; Battistone, A.; D’Adamo, C.; Fioriti, G.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1049737
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