A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets

被引:3
|
作者
Zaldivar, Diego A. [1 ]
Sanchez, Angel M. [1 ]
Romero, Andres A. [1 ]
机构
[1] Univ Nacl San Juan, Inst Energia Elect, IEE UNSJ CONICET, Ave Libertador San Martin,J5400AR, RA-1109 San Juan, Argentina
关键词
Asset management; Risk assessment; Fuzzy inference system; Health index; Clustering techniques; Power transformer; Maintenance; HEALTH INDEX; MODEL;
D O I
10.1016/j.epsr.2023.109374
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Power transformers (PT) are critical assets in power systems. Electric utilities and power companies that manage PT fleets require a large amount of information to inform decision-making processes related to acquisition, maintenance, operation, and unit availability. Processing such information poses a significant challenge, as misinterpretation could lead to incorrect decisions that compromise unit condition, ultimately impacting power system operation. Considering the above-mentioned, in this paper, a methodology for asset management on PT fleets is proposed. The first step of the methodology involves determining the technical condition of individual equipment and its strategic importance. PT units are then clustered according to related risk, and for each cluster, the status of the units and economic factors are analyzed to determine the optimal inspection strategy for condition-based maintenance. The proposed methodology was applied to a case study of a fleet of fifty-eight PT. The obtained results demonstrate the suitability of the methodology for practical application. Specifically, the methodology enables the asset manager to apply condition-based maintenance strategies effectively to PT fleets.
引用
收藏
页数:9
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