Underground cables are generally used in urban Medium Voltage systems. In the last years, the cable lines appeared to be more fragile than expected, with an increase of the number of faults, especially in the warmest periods of the year with the occurrence of heat waves. This paper, starting from actual data gathered in urban areas, aims to verify the existence of a relation between the number of faults and the temperature increase, to understand the possible limitations in using the classical reliability hypotheses to study the probability distributions of the time between faults. The results indicate the presence of critical periods with remarkable discrepancy between the empirical probability distributions and the exponential distribution used in the classical reliability analysis.
Statistical Analysis of Reliability in a Real Urban Distribution System / Wu, Haoke; Mazza, Andrea; Chicco, Gianfranco. - ELETTRONICO. - (2025), pp. 1-6. (Intervento presentato al convegno 2025 IEEE International Conference on Environment and Electrical Engineering and 2025 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2025 tenutosi a Chania, Greece nel 15-18 July 2025) [10.1109/eeeic/icpseurope64998.2025.11169099].
Statistical Analysis of Reliability in a Real Urban Distribution System
Wu, Haoke;Mazza, Andrea;Chicco, Gianfranco
2025
Abstract
Underground cables are generally used in urban Medium Voltage systems. In the last years, the cable lines appeared to be more fragile than expected, with an increase of the number of faults, especially in the warmest periods of the year with the occurrence of heat waves. This paper, starting from actual data gathered in urban areas, aims to verify the existence of a relation between the number of faults and the temperature increase, to understand the possible limitations in using the classical reliability hypotheses to study the probability distributions of the time between faults. The results indicate the presence of critical periods with remarkable discrepancy between the empirical probability distributions and the exponential distribution used in the classical reliability analysis.Pubblicazioni consigliate
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https://hdl.handle.net/11583/3004520
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