Power loss minimization using fuzzy multi-objective formulation and genetic algorithm

F. G. Bagriyanik*, Z. E. Aygen, M. Bagriyanik

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

6 Atıf (Scopus)

Özet

This paper presents a fuzzy multi-objective optimization and genetic algorithm based method to find optimum power system operating conditions. The objectives and constraints are modeled by fuzzy sets. The problem is formulated as a multiple objective problem subject to operational and electrical constraints. The proposed method uses the genetic algorithms (GA) to solve fuzzy optimization problem. In addition to active power losses, series reactive power losses of power transmission system are also considered as one of multiple-objectives. TCSC (Thyristor Controlled Series Capacitor) is considered as a control device together with shunt VAR sources, generators and transformers. Simulation results obtained from test systems demonstrate the effectiveness of the proposed method.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2003 IEEE Bologna PowerTech - Conference Proceedings
Sayfalar140-144
Sayfa sayısı5
DOI'lar
Yayın durumuYayınlandı - 2003
Etkinlik2003 IEEE Bologna PowerTech Conference - Bologna, Italy
Süre: 23 Haz 200326 Haz 2003

Yayın serisi

Adı2003 IEEE Bologna PowerTech - Conference Proceedings
Hacim4

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???event.eventtypes.event.conference???2003 IEEE Bologna PowerTech Conference
Ülke/BölgeItaly
ŞehirBologna
Periyot23/06/0326/06/03

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