Güç şebekelerinde minimum kayıpları sağlayan STATCOM konumunun ve değerinin belirlenmesinde farklı sezgisel algoritmaların karşılaştırılması

Abstract

Güç sistemleri üzerine yapılan çalışmaların en önemli konularından biri toplam kayıpların azaltılmasıdır. Esnek A. A. iletim sistemleri (FACTS) bu amacın gerçekleştirilmesinde önemli bir araç olarak öne çıkmaktadır. Statik Senkron Kompanzatörler (STATCOM), söz konusu FACTS yapılarının çalışması bakımından arasında en esnek ve gelişmiş olanlarıdır. Bir güç sistemindeki toplam kayıplar STATCOM’un bağlı bulunduğu baranın konumu ve tepkin güç çıkış değerine göre değişir. Bu çalışmada dört farklı sezgisel algoritma kullanılarak güç sistemi kayıplarının minimumunu elde etmeyi sağlayacak en iyi STATCOM konumunun ve çıkış değerinin belirlenmesi ve böylece algoritmaların karşılaştırılması amaçlanmıştır. Kullanılan sezgisel yöntemler sırasıyla Yerçekimsel Arama Algoritması (YAA), Parçacık Sürü Optimizasyonu (PSO), Yapay Arı Kolonisi Algoritması (YAK) ve Karınca Kolonisi Algoritması (KKA) yöntemleridir. Yöntemler IEEE’nin 14 baralı test sistemine uygulanarak en az sistem kayıplarının elde edilebildiği STATCOM konumları ve bu konumlardaki STATCOM tepkin güç çıkış değerleri bulunmuştur. Elde edilen sonuçlar en uygun değeri bulma ve yakınsama hızı bakımından karşılaştırılmış ve tartışılmıştır.

Keywords

• Optimal konum,STATCOM,Yerçekimsel arama algoritması,Parçacık sürü optimizasyonu,Yapay arı kolonisi,Karınca kolonisi algoritması

Comparison of different heuristic algorithms for location and value determination of STATCOM providing minimum losses in power systems

Abstract

One of the most important issues of studies that have been done on the power systems is loss reduction. Flexible A. C. transmission systems (FACTS) give significant opportunities to realize this aim. Static Synchronous Compensators (STATCOMs) are the most flexible and sophisticated structure as compared to the other FACTS devices in terms of operation. Total losses of a power system change according to the location and reactive power output of STATCOM. In this work, it is aimed to find optimum location and output value of a STATCOM that provide minimum losses of power system by using four different heuristic algorithms and to compare these algorithms.  Heuristic algorithms that are used in this paper are Gravitational Search Algorithm (GSA), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) and Ant Colony Algorithm (ACA) respectively. These methods were applied to IEEE-14 bus test system, and optimum locations and output values of STATCOMs that provide minimum losses have been found. Also, results of all methods are compared and discussed in terms of finding proper value and convergence speed.

Keywords

• Optimal location,STATCOM,Gravitational search algorithm,Particle swarm optimization,Artificial bee colony,Ant colony algorithm

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