Research on transformer life cycle cost based on cuckoo optimization algorithm

被引：0
|
作者：
Zheng Z. [1 ]
Zhou Y. [1 ]
Wang Q. [1 ]
Wang J. [2 ]
Huang Y. [2 ]
机构：
[1] Beijing Key Laboratory of High Voltage & EMC, North China Electric Power University, Beijing
[2] Jiangsu Electric Power Maintenance Branch Company Suzhou Division, Suzhou
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Cuckoo algorithm; Life cycle cost; Lifetime efficiency index; Operation and maintenance strategy; Transformer; Weibull distribution;
D O I：
10.7667/PSPC180484
中图分类号：
学科分类号：
摘要：
Transformer operation and maintenance methods have an influence on its operational reliability and maintenance cost, which can influence the life cycle cost further. Therefore, optimizing the operation and maintenance strategy is of great significance to reduce the life cycle cost. Based on the Weibull distribution failure probability model, the life efficiency index is proposed and established to quantitatively measure the effect of maintenance on the operating life of the transformer. The total life cycle cost of transformers from design, purchase, maintenance to decommissioning is analyzed. The average annual cost per life cycle is chosen as the objective function. Under the constraints of operational reliability, maintenance levels and life efficiency index, the cuckoo algorithm is used to optimize the maintenance time, maintenance level, and operating life parameters in the operation and maintenance strategy. Comparing to Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), the results obtained by the cuckoo algorithm are better. Not only the annual average cost is less, but also life efficiency index is higher, which can provide certain guarantees for transformer operation and maintenance. © 2019, Power System Protection and Control Press. All right reserved.
引用
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页码：49 / 55
页数：6
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