Güç Sistemi Kayıplarında Belirsizlik Etkisinin Analizi: Yenilenebilir Enerji ve Yük Belirsizlikleri

Year 2022, Issue: 35, 62 - 71, 07.05.2022

İbrahim Çağrı Barutçu , Ali Erduman

https://doi.org/10.31590/ejosat.1051410

Cited By: 1

Abstract

Yenilenebilir enerji kaynaklarının güç sistemlerine yaygın şekilde entegre edilmesi sonucunda enerji kaybı minimizasyonu problemi giderek daha fazla önem kazanmaktadır. Bu nedenle, fotovoltaik (PV) ve rüzgar türbini (WT) sistemlerindeki kesikli karakteristikler ve yük taleplerindeki belirsizlikler nedeniyle teknik sorunları ele almak için güç sisteminin optimal planlanması gerekmektedir. Bu makalede, PV ve WT sistemlerinin kurulu olduğu güç şebekesindeki toplam enerji kayıplarının azaltılmasında çeşitli belirsizlik senaryolarının etkileri dikkate alınmıştır. Güç sistemi teknik kısıtları dikkate alınarak kontrol değişkenlerinin optimal değerlerinin belirlenmesi için Parçacık Sürü Optimizasyonu (PSO) algoritması uygulanmıştır. Planlamanın uygulanmasında toplam enerji kayıpları azaltılırken farklı belirsizlik senaryolarının etkileri dikkate alınmıştır.

Keywords

Enerji Kaybı Minimizasyonu, Güç Sistemi Planlaması, Belirsizlik, Yenilenebilir Enerji Kaynakları

Analysis of the Uncertainty Effect in Power System Losses: Uncertainties of Renewable Energy and Load

Abstract

The energy loss minimization problem is increasingly gaining prominence as a result of widespread integration of renewable energy sources into the power systems. Thus, the optimal planning of power system is required to handle the technical issues due to the uncertainties in load demands and the intermittent characteristics in photovoltaic (PV) and wind turbine (WT) systems. In this paper, the impacts of various uncertainty scenarios have been considered while mitigating the total energy losses in the power network, where PV and WT systems are installed. Particle Swarm Optimization (PSO) algorithm has been implemented to determine the optimal values of control variables while taking into account the power system technical constraints. The influences of different uncertainty scenarios have been considered while alleviating total energy losses in the implementation of planning.

Keywords

Energy Loss Minimization, Power System Planning, Uncertainty, Renewable Energy Sources

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