CEZA FONKSİYONUYLA DURDURMALI GENETİK ALGORİTMALAR İLE TRANSFORMATÖR MERKEZLERİNDE OPTİMUM AŞIRI AKIM RÖLE KOORDİNASYONU

Yıl 2014, , 0 - , 31.12.2014

Barış Gürsu

https://doi.org/10.17341/gummfd.74141

Cited By: 2

Öz

Bu çalışmada 154 kV transformatör merkezlerinde, güç transformatörü giriş ve çıkış fiderleriyle orta gerilim dağıtım fiderlerinin optimum ters zamanlı aşırı akım röle koordinasyonu, ceza fonksiyonuyla durdurmalı Genetik Algoritmalar (CFD-GA) yöntemiyle yapılmıştır. Yeni bir yöntem olan CFD-GA yönteminin, aşırı akım röle koordinasyonundaki performansına vurgu yapılmıştır. Bu yöntem, selektivite bölgeleri arasındaki zaman farkı esnekliğiyle her çeşit aşırı akım röle koordinasyonu yapabilen bir yöntemdir. CFD-GA ile hem geleneksel ani ayar mecburiyetli hem de ani ayarsız aşırı akım röle koordinasyonu uygulamaları yapılmıştır. Ayrıca, çaprazlama ve mutasyonda yalnız 2 tabanı, yalnız 10 tabanı ve her generasyonda rasgele olarak belirlenen 2 ya da 10 tabanından birini kullanan karışık tabanlı CFD-GA, röle koordinasyonu uygulamalarında karşılaştırılarak, taban performansı belirlenmiştir.

Anahtar Kelimeler

Transformatör Merkezi, Koruma, Aşırı Akım, Anisiz Koordinasyon, Genetik Algoritma

Kaynakça

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