GERÇEK ZAMANLI ENERJİ DAĞITIM SİSTEMLERİNİN YAPAY SİNİR AĞLARI KULLANILARAK MODELLENMESİ VE HARMONİK TAHMİNİ - REAL TIME POWER DISTRUBUTION SYSTEM MODELLING AND HARMONIC ESTIMATION USING NEURAL NETWORK
GERÇEK ZAMANLI ENERJİ DAĞITIM SİSTEMLERİNİN YAPAY SİNİR AĞLARI KULLANILARAK MODELLENMESİ VE HARMONİK TAHMİNİElektrik sistemlerinde önemli bir kriter olan güç kalitesi her geçen gün önemini artırmaktadır. Güçkalitesini etkileyen başlıca etkenler; harmonikler, kırpışma (flicker), geçici rejimler(transient), ani gerilimdüşmeleri(Sags), ani gerilim yükselmeleri(Sweels) olarak sayılabilir. Harmonikler, rezonans, ani açma, anigerilim değişimleri v.b. olaylar güç kalitesini olumsuz olarak etkilemektedir. Harmoniklerin analizi ve tahminedilmelerinde literatürde çeşitli yöntemler kullanılmaktadır. Yapılan çalışmada, Manisa ilindeki yerleşim yeri vesanayi bölgesinden ölçülen Toplam Akım Harmonik Distorsiyonu (THD1) değerleri kullanılarak, ilerde sistemdeoluşabilecek, THDA1 değerlerini tahmin edecek bir Yapay Sinir Ağı (YSA) modeli geliştirilmiştir. Verilerin birkısmı YSA modelini oluşturmada, kalan kısmı da modeli test için kullanılmıştır. YSA ile tahmin edilendeğerlerin gerçek THD1 değerlerine çok yakın olduğu görülmüştür. Bu model ilave yüklerle birlik oluşabilecek THD1 değerlerinin önceden tahmin edilmesine ve tasarlanacak filtre parametrelerinin belirlenmesinde faydalıolabilir.REAL TIME POWER DISTRUBUTION SYSTEM MODELLING AND HARMONIC ESTIMATION USING NEURAL NETWORKThe importance of power quality in Electrical systems increases with each passing day and has become an important criterion in energy system. The main factors affecting the quality of power are harmonics, flicker, transients, voltage sags (Sags), sudden voltage surges (Sweels). The harmonics causes resonance, sudden trips, loss and so on and this problems adversely affect the quality of power. In this study THD1 values of residential and industrial zones were examined. Different ways are used for the analysis and the estimation of the harmonics. In order to get an estimate of the value of THD1 values Artificial Neural Networks were used. THD1 values were estimated with using this ANN model. With this method, accurate estimated values obtained. This estimated THD1 values can be used to selecting the required filter system. In this way, by reducing harmonic values, a significant improvement in power quality can be achieved. With the proposed ANN model, equipment that improve the power quality can be preselected while planning energy distribution systems. This model can be used for the planning the energy systems which has the high Power Quality. This ANN model can be used to estimate values in different systems .
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The importance of power quality in Electrical systems increases with each passing day and has become an important criterion in energy system. The main factors affecting the quality of power are harmonics, flicker, transients, voltage sags (Sags), sudden voltage surges (Sweels). The harmonics causes resonance, sudden trips, loss and so on and this problems adversely affect the quality of power. In this study residential and industrial zones were examined. Different ways are used for the analysis and the estimation of the harmonics. In order to get an estimate of the value of
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- ISSN: 1305-130X
- Başlangıç: 2005
- Yayıncı: Manisa Celal Bayar Üniversitesi Fen Bilimleri Enstitüsü
Sayıdaki Diğer Makaleler
Mustafa NİL, Cihan ŞAHİN, Mevlüt KARAÇOR, Ahmet ONDUK, Enver ATİK, Metin NİL
Mustafa ATMACA, Ender YILMAZ, Ahmet Berk KURTULUŞ
Suat ÖZDEMİR, Metin DEMİRTAŞ, Serkan AYDIN