Multicriteria transformer asset management with maintenance and planning perspectives

被引：21

作者：

Campelo, Felipe ^{[1
]}

Batista, Lucas S. ^{[1
]}

Takahashi, Ricardo H. C. ^{[2
]}

Diniz, Henrique E. P. ^{[3
]}

Carrano, Eduardo G. ^{[1
]}

机构：

[1] Univ Fed Minas Gerais, Dept Elect Engn, Operat Res & Complex Syst Lab, BR-31270901 Belo Horizonte, MG, Brazil

[2] Univ Fed Minas Gerais, Dept Math, BR-31270901 Belo Horizonte, MG, Brazil

[3] CEMIG D, Maintenance Planning & Engn Dept, BR-30150150 Belo Horizonte, MG, Brazil

来源：

IET GENERATION TRANSMISSION & DISTRIBUTION | 2016年 / 10卷 / 09期

关键词：

power transformers; asset management; power system management; power distribution economics; power distribution planning; optimisation; cost reduction; maintenance engineering; statistical analysis; probability; decision support systems; failure analysis; multicriteria transformer asset management; strategic asset management; electrical power system; multiobjective optimisation model; maintenance cost minimization; predicted cost minimization; statistical estimation; failure probability; economic impact failure; multicriteria decision-support system; planning engineer; Brazilian power distribution utility; Minas Gerais; Brazil; CEMIG; LIFETIME;

D O I：

10.1049/iet-gtd.2015.1112

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：

Strategic asset management of transformer fleets in electrical power systems is a critical aspect for distribution utilities. In this study, an integrated framework for multicriteria asset management is presented. A multiobjective optimisation model is deployed, simultaneously minimising the maintenance costs and the predicted cost of unexpected failures, based on statistical estimates of failure probability and on the expected economic impact of failures. A multicriteria decision-support system is used for the selection of the recommended maintenance policy for a given time window. A criticality score for each transformer, which can assist planning engineers in defining replacement investments, is also provided. The application of the proposed framework is illustrated using the database of Brazilian power distribution utility CEMIG.

引用

页码：2087 / 2097

页数：11

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