Elektrik Dağıtım Sistemi Verimliliğinin Artırılması: TLBO Algoritması ile İletken Kesit Optimizasyonu için Bir Yazılım Aracı Tasarımı

Year 2024, , 41 - 53, 21.06.2024

Cemil Altın

https://doi.org/10.53525/jster.1459185

Abstract

Birçok ayrı dal ve bölümden oluşan radyal dağıtım şebekelerinde optimum iletken kesitini hesaplamak çok zordur. Bu çalışma, Öğretme-Öğrenme Tabanlı Optimizasyon (TLBO) algoritmasını kullanarak elektrik dağıtım sistemlerinde iletken kesit alanını optimize etmek için yeni bir araç sunmaktadır. Araç, çok kesitli, dallanan dağıtım sistemlerinin iletken kesitini optimize etmektedir. Her bir şebeke segmenti için ideal iletken boyutunu seçmek üzere amaç fonksiyonu formüle edilirken maksimum akım taşıma kapasitesi kısıtı dikkate alınmıştır. Optimum iletken kesitleri, hem istenen yüzde gerilim düşümü hem de iletkenin akım taşıma kapasitesi ile belirlenmektedir. Hat segmentlerinden çekilen akımlar önceden hesaplanarak optimizasyon algoritmasının arama uzayı daraltılmıştır. İdeal iletken kesitlerini belirlemek için MATLAB ve Excel birlikte kullanılmaktadır. Önerilen yöntem kullanılarak seçilen iletken, radyal dağıtım sistemlerinde uygun gerilim seviyelerini korurken, iletken malzeme ve enerji kaybı maliyetlerindeki toplam tasarrufu dolaylı olarak optimize etmektedir. Sonuçlar, optimum iletken seçimi probleminin TLBO algoritması ile pratik ve etkili bir şekilde çözülebileceğini göstermektedir. Önerilen aracın bir radyal dağıtım sistemi üzerinde test edilmesinin sonuçları dikkate değerdir.

Keywords

Dağıtım Şebekeleri, TLBO, Metasezgisel, İletken optimizasyonu

Project Number

No project

Enhancing Electrical Distribution System Efficiency: A Software Tool Design for Conductor Cross-Section Optimization With TLBO Algorithm

Abstract

In radial distribution networks with many separate branches and sections, it is very difficult to calculate the optimum conductor cross-section. This work introduces a new tool for optimizing conductor cross-sectional area in electrical distribution systems by utilizing the Teaching-Learning-Based Optimization (TLBO) algorithm. The tool can optimize the conductor crossection of the multisection, branching distribution systems. The maximum current carrying capacity constraint is taken into consideration when formulating the objective function to choose the ideal conductor size for each network segment. The optimal conductor sizes are determined by both desired percent voltage drop and current carrying capacity of the conductor. By calculating the currents drawn from the line segments in advance, the search space of the optimization algorithm is narrowed. MATLAB and Excel were used to determine the ideal conductor size. The conductor, which is chosen using the suggested method, will preserve appropriate voltage levels in radial distribution systems while optimizing the overall savings in conducting material and energy loss costs. The outcomes show that the optimal selection of conductor problem can be solved by the TLBO algorithm in a practical and effective manner. Results of testing the suggested tool on a radial distribution system are noteworthy.

Keywords

Distribution Networks, TLBO, Metaheuristics, Conductor Optimization

Ethical Statement

In the studies carried out within the scope of this article, the rules of research and publication ethics were followed.

Supporting Institution

No institution

Project Number

No project

Thanks

No thanks

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