RT journal article
T1 A fitting procedure for probability density functions of service restoration times. Application to underground cables in medium-voltage networks
A1 González Cagigal, Miguel Ángel
A1 Rosendo Macías, José Antonio
A1 Clavijo Blanco, José Antonio
A2 Ingeniería Eléctrica
K1 Distribution networks
K1 Fitting of probability density functions
K1 Power system reliability
K1 Service restoration time
K1 Underground cables
AB Distribution companies have the responsibility to provide a quality service to their customers, according to the existing regulation. Reliability issues, such as power outages, are registered in databases for a quantitative evaluation of this quality. This paper uses one of these historical records to make a statistical analysis of service restoration times, applied to the particular case of underground cables in medium voltage networks. An algo-rithm is proposed to fit the raw data to the probability density functions typically used in reliability analysis. The best-fitted distribution is determined in each case according to the information provided by a set of goodness-of -fit tests. Different groups are considered for the elements of the systems, concerning their functionality and voltage level. The presented procedure is applied to an electrical network with more than 350 feeders. Results have been obtained globally, showing that the observed service restoration time is lower than the estimated maximum limit in 98.00% of cases. The probability functions provided by the proposed algorithm can be used to improve the accuracy of the reliability models for the electric power system.
PB Elsevier
SN 0378-7796
YR 2023
FD 2023-01-13
LK http://hdl.handle.net/10498/29354
UL http://hdl.handle.net/10498/29354
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026