RT journal article
T1 Statistical characterization of reliability indices in medium voltage networks using a Monte Carlo-based method
A1 Clavijo Blanco, José Antonio
A1 González-Cagigal, M.A.
A1 Rosendo Macías, José Antonio
A2 Ingeniería Eléctrica
K1 Failure rates
K1 Key performance indicator
K1 Monte carlo simulation
K1 Power system reliability
K1 Service restoration time
AB Distribution companies are compelled to provide high-quality services to their customers in compliance withexisting regulations. Key performance indicators such as system average interruption duration index and systemaverage interruption frequency index are commonly employed to assess the quality of service provided by theseutilities. In certain countries, distribution system operators may face penalties or receive bonuses based on theirperformance within specified thresholds in their reliability indices. This paper introduces a novel, integratedalgorithm, based on Monte Carlo simulations, for conducting a risk assessment in real MV networks using localdata from the distribution system operator. The proposed technique is tested in a real MV network, and theobtained results are analyzed both at feeder level and for the entire network. The feeder-level results might beused to identify the sections of the network with the worst quality of power supply, based on the estimated KPIs.The overall results of the study offer valuable insights into the likelihood of specific KPI values using probabilitydensity function. The Weibull distribution and log-logistic distribution are found to be those with the best-fittingprobability density functions for the two indices evaluated in this work. Furthermore, a penalty-based rateapproach is presented as an application of the proposed method to assess the economic risk of the MV network.The findings reveal that the test system is expected to incur penalties amounting to 7.55 million dollars per year
PB Elsevier B. V.
SN 0378-7796
YR 2024
FD 2024-06-07
LK http://hdl.handle.net/10498/33654
UL http://hdl.handle.net/10498/33654
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026