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المؤلفLi, Mingjie
المؤلفZheng, Yupeng
المؤلفTang, Bo
المؤلفYu, Guangzheng
المؤلفWang, Zhen
المؤلفMuyeen, S. M.
تاريخ الإتاحة2023-02-26T08:29:57Z
تاريخ النشر2022
اسم المنشورIET Generation, Transmission and Distribution
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1049/gtd2.12649
معرّف المصادر الموحدhttp://hdl.handle.net/10576/40370
الملخصOpen circuit faults of island distribution lines account for more than 70% of the total number of faults in the distribution network. Failure assessment of lines plays a crucial role in the operational safety of the island distribution network. Aiming at the problems of multiple operational failure factors and difficulty in failure assessment, a failure assessment method of island distribution lines based on model-data hybrid drive is proposed in this paper. Specifically, in order to accurately describe the actual operating status and failure mechanism of distribution lines in the typical island environment, model-driven method is used to formulate a comprehensive operational failure index of distribution lines, which combines with the impact of strong wind and corrosion operation scenarios and the operating characteristics of lines. On this basis, to improve the accuracy of failure assessment under the influence of multiple factors in the island environment, an improved light gradient boosting machine model is constructed in a data-driven manner. Finally, based on actual data from distribution network in Zhoushan, China, the case study reveals that the proposed method could effectively assess the operational failure of island distribution lines. 2022 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
اللغةen
الناشرJohn Wiley and Sons Inc
الموضوعcomprehensive operational failure index
failure assessment
island distribution lines
model-data hybrid drive
multiple environmental factors
العنوانA failure assessment method of island distribution lines based on model-data hybrid drive
النوعArticle
الصفحات4867-4877
رقم العدد23
رقم المجلد16
dc.accessType Abstract Only


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