Distribution Network Fault Prediction Utilising Protection Relay Disturbance Recordings And Machine Learning
27th International Conference on Electricity Distribution (CIRED 2023)(2023)
摘要
As society becomes increasingly reliant on electricity, the reliability requirements for electricity supply continue to rise. In response, transmission/distribution system operators (T/DSOs) must improve their networks and operational practices to reduce the number of interruptions and enhance their fault localization, isolation, and supply restoration processes to minimize fault duration. This paper proposes a machine learning based fault prediction method that aims to predict incipient faults, allowing T/DSOs to take action before the fault occurs and prevent customer outages.
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关键词
distribution network fault prediction,electricity supply,fault duration,fault localization,incipient faults,machine learning-based fault prediction method,operational practices,protection relay disturbance recordings,reliability requirements
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