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As society becomes increasingly reliant on electricity, the reliabilityrequirements for electricity supply continue to rise. In response,transmission/distribution system operators (T/DSOs) must improve their networksand operational practices to reduce the number of interruptions and enhancetheir fault localization, isolation, and supply restoration processes tominimize fault duration. This paper proposes a machine learning based faultprediction method that aims to predict incipient faults, allowing T/DSOs totake action before the fault occurs and prevent customer outages.

Distribution Network Fault Prediction Utilising Protection Relay Disturbance Recordings And Machine Learning