Petri Ağı Teknolojisi Kullanılarak Transformatör Yağındaki Çözünmüş Gaz Analizi ile Arıza Tipinin Tespiti

Abstract

Paralel işlem yapabilmesinden dolayı Petri ağı teknolojisi büyük ve karmaşık güç sistemlerinde rahatlıkla uygulanabilmektedir. Transformatör yağında çözünmüş gaz analizi ile arıza teşhisi önceden tanımlanabilmekte, böylece sistemin güvenilirliği artmakta ve transformatör merkezinde çalışan operatörün arızaya karşı müdahalesi hızlanmaktadır. Bu çalışmada, elektrik güç transformatörlerinin güvenilirlik karakteristikleri Petri ağı teknolojisi kullanılarak elde edilmiş, matematiksel ve sezgisel metotlardan daha başarılı sonuçlar ortaya konmuştur. Uygulanan arıza teşhis metodu diğer metotlardan daha basit ve etkilidir. Bilgisayar simülasyonlarında PIPE2 programı kullanılmıştır. Bu metot kullanılarak hızlı arıza teşhis cevapları elde edilmiştir. Elektrik güç transformatörlerindeki muhtemel arıza tipleri önceden tespit edilmiş ve personel müdahalesinin en aza indirgenmesi hedeflenmiştir

Keywords

• Güç transformatörü, Petri ağları teknolojisi, Arıza tipi tespiti

Diagnosis of Fault Type by Dissolved Gas Analysis in Transformer Oil Using Petri Net Technology

Abstract

Petri net technology can be applied easily in large and complex power systems because of its parallel processing. Fault diagnosis by dissolved gas analysis in transformer oil can be previously identified, so the reliability of the system can be increased and the operator working in substation can be accelerated against the intervention of a fault. In this study, reliability characteristics of the electric power transformer were obtained using petri net technology which was produced more successful results than mathematical and heuristic methods. Applied fault diagnosis method is simple and an effective than other methods. PIPE2 software was used during the computer simulation. The fast fault diagnoses respond had obtained by using this method. Possible fault types in the electric power transformer were predetermined and were aimed to minimize staff intervention

Keywords

• Power transformer, Petri nets technology, Fault type diagnosis

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