The weather has an important impact on the failure probability of components of power systems and on the time interval of pre-arranged maintenance. Therefore, it is essential to evaluate the reliability of distribution networks considering the impact of the weather. In this paper, weather condition models suitable for evaluating the probability of component failure and the pre-arranged maintenance are constructed based on the degree of influence of the main weather elements on them. Further, based on historical reliability data and meteorological data, a component failure model and a pre-arranged maintenance model considering weather conditions and their impact on the health of a component are proposed. The case study on an actual distribution network in Nanjing, China shows the effectiveness and merit of the proposed method.
Electric Power Distribution System Reliability Evaluation Considering the Impact of Weather on Component Failure and Pre-Arranged Maintenance / Wu, Y.; Fan, T.; Huang, T.. - In: IEEE ACCESS. - ISSN 2169-3536. - 8:(2020), pp. 87800-87809. [10.1109/ACCESS.2020.2993087]
Electric Power Distribution System Reliability Evaluation Considering the Impact of Weather on Component Failure and Pre-Arranged Maintenance
Wu Y.;Huang T.
2020
Abstract
The weather has an important impact on the failure probability of components of power systems and on the time interval of pre-arranged maintenance. Therefore, it is essential to evaluate the reliability of distribution networks considering the impact of the weather. In this paper, weather condition models suitable for evaluating the probability of component failure and the pre-arranged maintenance are constructed based on the degree of influence of the main weather elements on them. Further, based on historical reliability data and meteorological data, a component failure model and a pre-arranged maintenance model considering weather conditions and their impact on the health of a component are proposed. The case study on an actual distribution network in Nanjing, China shows the effectiveness and merit of the proposed method.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2859309