Yenilenebilir Enerji Kaynaklarının ve Elektrikli Araçların Belirsizlikleri Göz Önüne Alınarak Dağıtım Sisteminin QPSO Yöntemi ile Yeniden Yapılandırılması

Year 2023, Volume: 4 Issue: 2, 187 - 205, 24.12.2023

İbrahim Çağrı Barutçu , Faruk Aygün , Ali Erduman

https://doi.org/10.58769/joinssr.1401699

Abstract

Bu çalışma kapsamında, IEEE 33 baralı test sistemi üzerinde yenilenebilir enerji kaynaklarının ve elektrikli araçların kullanıldığı dağıtım besleyicisinin yeniden yapılandırması problemini çözmek için kuantum parçacık sürü optimizasyonu (QPSO) uygulanmıştır. Kullanılan yöntem ile QPSO parçacık uzunluğunu değiştirerek daha hızlı bir sürede en yakın çözümün bulunması sağlanmıştır. Optimizasyonun amaç fonksiyonu elektrik dağıtım sistemlerinde aktif güç kaybını en aza indirmektir. Optimizasyonun kısıtları arasında bara gerilimleri, dağıtım hattı taşıma kapasiteleri, üretim kaynaklarının minimum ve maksimum güç değerleri, aktif ve reaktif güç denge denklemleri eşitlik ve eşitsizlik kısıtları olarak alınmıştır. Çalışma kapsamında rüzgâr ve güneş enerji üretim santralleri ve elektrikli araç modellerini dikkate alarak dağıtım sistemi besleyicilerinin yeniden yapılandırılması araştırılmıştır. Dağıtık üretim kaynaklarından olan rüzgar ve güneş enerji santrallerin üretim belirsizliklerinin ve elektrikli araçların yük olarak tüketim belirsizliklerinin ayrı ayrı ve birlikte dikkate alındığı senaryolar oluşturulmuştur.

Keywords

QPSO yöntemi, dağıtım sisteminde yeniden yapılandırma, yenilenebilir enerji belirsizlikleri, elektrikli araçlar

RESTRUCTURING THE DISTRIBUTION SYSTEM WITH QPSO METHOD CONSIDERING THE UNCERTAINTIES OF RENEWABLE ENERGY SOURCES AND ELECTRIC VEHICLES

Abstract

In this study, quantum particle swarm optimisation (QPSO) is applied to solve the distribution feeder reconfiguration problem using renewable energy sources and electric vehicles on the IEEE 33-bus test system. With the method used, the closest solution is found in a faster time by changing the QPSO particle length. The objective function of the optimisation is to minimise the active power loss in electricity distribution systems. Busbar voltages, distribution line carrying capacities, minimum and maximum power values of generation sources, active and reactive power balance equations are taken as equality and inequality constraints. Within the scope of the study, the reconfiguration of distribution system feeders considering wind and solar power generation plants and electric vehicle models is investigated. Scenarios are created in which the production uncertainties of wind and solar power plants, which are distributed generation sources, and the consumption uncertainties of electric vehicles as load are taken into account separately and together.

Keywords

QPSO method, distribution system reconfiguration, renewable energy uncertainties, electric vehicles

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