Condition assessment of transformer insulation using dielectric frequency response analysis by artificial bee colony algorithm

• Autorzy: Bigdeli M. , Aghajanloo J.

Identyfikatory

DOI

10.1515/aee-2016-0004

• Języki publikacji: EN

Abstrakty

EN

Transformers are one of the most important components of the power system. It is important to maintain and assess the condition. Transformer lifetime depends on the life of its insulation and insulation life is also strongly influenced by moisture in the insulation. Due to importance of this issue, in this paper a new method is introduced for determining the moisture content of the transformer insulation system using dielectric response analysis in the frequency domain based on artificial bee colony algorithm. First, the master curve of dielectric response is modeled. Then, using proposed method the master curve and the measured dielectric response curves are compared. By analyzing the results of the comparison, the moisture content of paper insulation, electrical conductivity of the insulating oil and dielectric model dimensions are determined. Finally, the proposed method is applied to several practical samples to demonstrate its capabilities compared with the well-known conventional method.

Słowa kluczowe

EN

artificial bee colony (ABC) algorithm; condition assessment; dielectric frequency; response (DFR); transformer insulation

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2016
• Tom: Vol. 65, nr 1
• Strony: 45--57
• Opis fizyczny: Bibliogr. 28 poz., fig., tab.

Twórcy

autor

Bigdeli M.

• Department of Electrical Engineering Zanjan Branch, Islamic Azad University Zanjan, Iran

autor

Aghajanloo J.

• Department of Electrical Engineering Zanjan Branch, Islamic Azad University Zanjan, Iran

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę