1500 V DC Beslemeli Bir Metro Hattında Minimum Araç İşletme Geriliminin Performans Verilerine Bağlı Olarak Belirlenmesi

DC beslemeli metro hatlarında elektrifikasyon sistemi tarafından sağlanan cer gücü besleme gerilimi vasıtasıyla aracın ihtiyacı olan güç sağlanmaktadır. Güç temini sağlanırken enerjinin kaliteli olması hedeflenir. Hat için sağlanan gerilimin belirli sınırlar dahilinde olması aracın performansını etkilemektedir. Hatta oluşan gerilim düşümüne bağlı olarak bu değer etkilenmektedir. Bu çalışmada 1500 V DC beslemeli bir metro hattında minimum araç geriliminin araç performans verilerine bağlı olarak belirlenmesi incelenmiştir. Çalışma için yapay zeka tekniklerinden olan Uyarlamalı Sinirsel Bulanık Çıkarım Sistemi (ANFIS) ve Destek Vektör Makinaları (SVM) yöntemleri tercih edilmiştir. Çalışma için Sultangazi-Arnavutköy hattına ait bir grup performans verisi kullanılmıştır. Yapılan hesaplamalarla ideal sonuçlar elde edilmiştir.

Anahtar Kelimeler:

ANFIS, cer, elektrifikasyon, metro, SVM

Determination of Minimum Vehicle Operating Voltage in a Metro Line with 1500 V DC Supply Based on Performance Data

In DC railways, the traction power supply voltage provided by the electrification system gives the power it needs. Energy is aimed to be of high quality while providing this power. The vehicle’s performance is influenced when the voltage supplied for the vehicle performance is in certain limits. This value is affected by voltage drop on the line. In this study, the determination of the minimum vehicle voltage in a railway line with 1500 V DC supply in relation to the vehicle performance data was investigated. .The artificial intelligence methods adaptive neuro-fuzzy inference system (ANFIS) and support vector machines (SVM) were applied. The performance data of Sultangazi-Arnavutkoy metro line were used in the study. Ideal results were obtained with the calculations.

Keywords:

ANFIS, electrification, metro, SVM, traction,

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