Yenilenebilir Enerji Kaynaklarını İçeren Optimal Güç Akışı İçin Uygunluk Mesafe Dengesi Tabanlı Üçgenleme Topolojisi Toplama İyileştiricisi

Abstract

Günümüzde talep edilen ve tüketilen enerji miktarında çok yoğun artışların olması ile birlikte, yenilenebilir enerji kaynaklarından enerji üretiminde artışlar olmaktadır. Bir elektrik şebekesinde yenilenebilir enerji kaynaklarının dahil edilerek kullanılması ile birlikte ağın ekonomik ve verimli çalışabilmesi için en uygun şeklide planlanması problemini de ortaya çıkarmaktadır. Bu tez çalışmasında, yenilenebilir enerji kaynaklarından olan rüzgâr ve gücü entegreli güç sistemleri problemlerinden olan optimal güç akışı problemi ele alınmıştır. Optimal güç akışı problemi doğrusal olmayan yapıya ve çeşitli kısıtlamalara sahip olan, kontrol parametrelerin en uygun değerlerinin belirlendiği bir optimizasyon problemidir. Ayrıca, güneş ve rüzgar enerjisinin doğasını birleştirmek problemin karmaşıklığını artırmaktadır. Bu tür problemlerin çözümünde yapay zeka tekniklerinden olan sezgisel arama algoritmaları tercih edilmektedir. Bu tez çalışmasında optimal güç akışı probleminin çözümü için Üçgenleme topolojisi toplama iyileştiricisi (ÜTTİ) algoritmasının öncelikle mesafe uygunluk dengesi tabanlı geliştirilmesi gerçekleştirilmiştir. Geliştirilen algoritma rüzgar ve güneş enerji kaynaklarının dahil edildiği optimal güç akışı probleminde uygulanmış olup, literatürdeki farklı algoritmaların sonuçları ile karşılaştırılmıştır. Elde edile sonuçlar, önerilen algoritmanın bu güç sistemi probleminde etkili olduğunu açık bir şekilde göstermektedir.

Keywords

• Optimal Güç Akışı
• Üçgenleme Topoloji Toplama İyileştiricisi
• Güneş enerjisi
• Rüzgar enerjisi

Fitness Distance Balance Based Triangulation Topology Aggregation Optimizer for Optimal Power Flow Including Renewable Energy Sources

Abstract

With the substantial increase in the amount of energy demanded and consumed today, there is also an increase in energy generation from renewable energy sources. Including renewable energy sources in an electrical grid and using them introduces the problem of planning the network in the most economical and efficient way. This thesis addresses the optimal power flow problem, which is one of the power system problems integrated with wind and solar power, both renewable energy sources. The optimal power flow problem is an optimization problem with a nonlinear structure and various constraints, where the best values of control parameters are determined. Additionally, combining the nature of solar and wind energy increases the complexity of the problem. Heuristic search algorithms, which are a type of artificial intelligence technique, are preferred in solving such problems. In this thesis, the Triangulation Topology Aggregation Optimizer (TTAO) algorithm was first developed based on distance adequacy balance for the solution of the optimal power flow problem. The developed algorithm was applied to the optimal power flow problem including wind and solar energy sources and compared with the results of different algorithms in the literature. The obtained results clearly show that the proposed algorithm is effective in this power system problem.

Keywords

• Optimal Power Flow
• Triangulation Topology Aggregation Optimizer
• Solar Power
• Wind Power

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