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Original scientific paper

https://doi.org/10.17559/TV-20190716132651

Comprehensive Power Transformers Evaluation based on Multi-Criteria Decision-Making Approach

Stojan Vasović ; Distribution System Operator EPS Distribution, Belgrade, Serbia, Čačak, 32000, Republic of Serbia
Aleksandar Dragašević ; University of Kragujevac, Faculty of Technical Sciences Čačak, Sveti Sava St, 65, Čačak 32000, Republic of Serbia
Slaviša Puzović orcid id orcid.org/0000-0002-0902-1161 ; Distribution System Operator EPS Distribution, Belgrade, Serbia, Prijepolje, 31300, Republic of Serbia
Sanja Puzović* orcid id orcid.org/0000-0002-6883-1199 ; University of Kragujevac, Faculty of Technical Sciences Čačak, Sveti Sava St, 65, Čačak 32000, Republic of Serbia
Vladan Paunović orcid id orcid.org/0000-0002-9641-6873 ; University of Kragujevac, Faculty of Technical Sciences Čačak, Sveti Sava St, 65, Čačak 32000, Republic of Serbia


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Abstract

Selection of adequate power transformers is among the most important factors for ensuring well-operated and optimized power generation and distribution systems, which imposes the need for applying optimization methods in order to obtain comprehensive evaluation process. In the paper, a multi-criteria group decision-making supportive model for the power transformer evaluation is proposed; the model is based on integration of the Analytic Hierarchy Process (AHP) and the compromise ranking method with fuzzy Set Theory. The AHP method was utilized in order to estimate the criteria relative weights, whereas the compromise ranking method was used for alternative assessment and compromise ranking. Integration of the fuzzy logic within the proposed model allows dealing with problem of the ambiguities of human perceptions and provides more rational results. A numerical example illustrates the proposed methodology on the real MCDM problem of power transformers selection.

Keywords

AHP; compromise ranking method; fuzzy Set Theory; MCDM; power transformers evaluation

Hrčak ID:

261298

URI

https://hrcak.srce.hr/261298

Publication date:

15.8.2021.

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