基于RCAM的电力变压器维修计划的k-means聚类算法

Aysun Koksal, A. Ozdemir, O. Ata
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引用次数: 3

摘要

基于RCAM的输电网维护计划的目标是在不增加额外成本的情况下,优化输电网资产的计划停运,使系统可靠性最大化。将一种基于RCAM的变压器维修程序扩展到系统级,并提出了一种改进的维修计划,以实现更好的可靠性指标、总成本和更长的生命周期。采用k-均值聚类算法,根据两个临界标准对变压器进行临界评定和分类。将所提出的分类方法应用于土耳其国家输电系统的电力变压器,并对分类结果的准确性和适用性进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RCAM based maintenance plan of the power transformers using k-means clustering algorithm
RCAM based maintenance planning of power transmission grid aims to optimize the planned outage of the assets that maximizes the system reliability without additional cost increases. A recent RCAM based transformer maintenance procedure is extended to the system level and a revised maintenance plan is proposed to achieve better reliability indices, total costs and longer life cycles. k-means clustering algorithm is used for criticality assessment and classification of the transformers with respect to two criticality criteria. The proposed classification is applied to the power transformers of Turkish National Power Transmission System and the results are discussed in terms of accuracy and the applicability.
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