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Dergiler / Electrica / 2018 / Cilt: 18 - Sayı: 2

New Optimization Algorithms for Application to Environmental Economic Load Dispatch in Power Systems

ÖZGE PINAR AKKAŞ
ERTUĞRUL ÇAM
İBRAHİM EKE
YAĞMUR ARIKAN
Sayfa
133–142
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Accordingly, it can be concluded that the new methods are more effective and should be adopted.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The determination of the most economical generation dispatch in an electrical power system has become a very important issue globally.
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Temel Bulgular & Veri:The results demonstrate that the proposed new methods have better economic and environmental distribution performances.
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Sonuç & Katkı:Accordingly, it can be concluded that the new methods are more effective and should be adopted.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

The determination of the most economical generation dispatch in an electrical power system has become a very important issue globally. However, economical dispatch can no longer be considered alone because of environmental problems that are derived from emissions such as nitrogen oxide, carbon dioxide, and sulfur dioxide. In this study, the problem of environmental economic load dispatch (EELD) in a power system of six generators is addressed both by neglecting and including line transmission losses using a modified genetic algorithm and a modified artificial bee colony optimization method. The results of these modified algorithms are compared with those of the unmodified versions. The results demonstrate that the proposed new methods have better economic and environmental distribution performances. Accordingly, it can be concluded that the new methods are more effective and should be adopted.

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Bu Makaleye Atıf Yap

AKKAŞ, Ö. P., ÇAM, E., EKE, İ., ARIKAN, Y. (2018). New Optimization Algorithms for Application to Environmental Economic Load Dispatch in Power Systems. Electrica, Cilt: 18 - Sayı: 2, 133–142. https://ajindex.com/articles/153538

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Kaynakça (13)

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