Determination of distance between DC traction power centers in a 1500-V DC subway line with artificial intelligence methods

Mehmet Taciddin AKÇAY; İlhan KOCAARSLAN

Makale detayları

Determination of distance between DC traction power centers in a 1500-V DC subway line with artificial intelligence methods

Yazarlar:

Mehmet Taciddin AKÇAY | İlhan KOCAARSLAN

Yayıncı:

TUBITAK

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 1, pp.289-303

Belge Tipi:

Makale

Yayın Tarihi:

1/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000734320

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 


                        The electrification system in rail systems is designed 
with regard to the operating data and design parameters. While the 
electrification system is formed, the minimum voltage rating that the 
traction force requires during the operation needs to be provided. The 
highest value of the voltage drop occurring on the line is determined by the 
distance between power centers. This value needs to be kept within certain 
limits for the continuity of operation. In this study, the determination of 
the distance between DC traction power centers for a 1500-V DC-fed rail 
system is done by means of the adaptive neuro-fuzzy inference system 
(ANFIS), support vector machines (SVMs), and artificial neural networks 
(ANNs). The distance occurring on the line is calculated with regard to the 
operating parameters by means of the ANFIS, SVMs, and ANNs. The ANFIS, SVMs, 
and ANNs are explained and a comparison is made. The data created regarding 
one-way and two-way supply conditions are examined for simulation. The main 
contribution of this paper is the determination of the distance between 
railway traction power centers with artificial intelligence methods.
                    

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Makale detayları

Determination of distance between DC traction power centers in a 1500-V DC subway line with artificial intelligence methods

Yazarlar: Mehmet Taciddin AKÇAY | İlhan KOCAARSLAN

Yayıncı: TUBITAK

Ana Başlıklar: Uygulamalı fizik

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 1, pp.289-303

Belge Tipi: Makale

Yayın Tarihi: 1/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000734320

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Mehmet Taciddin AKÇAY | İlhan KOCAARSLAN

Yayıncı:

TUBITAK

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 1, pp.289-303

Belge Tipi:

Makale

Yayın Tarihi:

1/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000734320

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632