Aşırı Akım Röle Optimizasyonunda Optimizasyon Algoritmalarının Karşılaştırmalı Analizi

Year 2023, Volume: 12 Issue: 4, 25 - 32, 28.12.2023

Özge Özgüner , Ebubekir Seyyarer

https://doi.org/10.46810/tdfd.1311104

Abstract

Optimizasyon algoritmaları, belirli bir amaç fonksiyonunun minimum veya maksimum değerini bulmayı amaçlayan problemleri çözmede yaygın olarak kullanılmaktadır. Optimizasyon yöntemleri, en iyi alternatifi seçmek için hem matematiksel hem de sezgisel yaklaşımları kullanmaktadır. Bu çalışmada Aşırı Akım Rölelerinin Koordinasyon (Overcurrent Relay Coordination - ORC) problemini dört optimizasyon algoritması kullanarak en aza indirgemeyi ve sonuçlarını karşılaştırmayı amaçlamaktadır. Aşırı akım röleleri, güç sistemlerinde arızaları tespit eden ve hasarı en aza indiren kritik koruyucu cihazlardır. Güç sistemlerinin güvenliğini sağlamak için koruma rölelerinin doğru seçimi ve ayarlanması önem arz etmektedir. ORC, bir elektrik dağıtım sisteminde röle çalışma süreleri ve ayarları, yük değişiklikleri ve bakım gereksinimleri gibi çok sayıda kısıtlamanın dikkate alınmasını içermektedir. Hasançelebi trafo merkezinin ORC sorunu için Fidan Gelişim Algoritması (Saplings Growing up Algorithm -SGA), Lig Şampiyonluk Algoritması (League Championship Algorithm - LCA), Genetik Algoritma (Genetic Algorithm - GA) ve Balina Optimizasyon Algoritması (Whale Optimization Algorithm - WOA) ile üretilen sonuçlar karşılaştırılmaktadır. Elde edilen sonuçlara göre, WOA’nın diğer optimizasyon algoritmalarına göre daha hızlı sonuçlar ürettiği görülmektedir.

Keywords

Fidan Gelişim Algoritması, Lig Şampiyonluk Algoritması, Genetik Algoritma, Balina Optimizasyon Algoritması, Aşırı – Akım Röle Koordinasyonu

Comparative Analysis of Optimization Algorithms in Overcurrent Relay Optimization

Abstract

Optimization algorithms are commonly used to solve problems aiming to find the minimum or maximum value of a specific objective function. Optimization methods use both mathematical and heuristic approaches to select the best alternative. This study aims to minimize the Overcurrent Relay Coordination (ORC) problem of Overcurrent Relays using four optimization algorithms and compare the results. Overcurrent relays are critical protective devices that detect faults and minimize damage in power systems. Proper selection and adjustment of protective relays are essential to ensure the security of power systems. ORC involves considering numerous constraints such as relay operation times and settings, load changes, and maintenance requirements in an electric distribution system. The results generated by the Saplings Growing up Algorithm (SGA), League Championship Algorithm (LCA), Genetic Algorithm (GA), and Whale Optimization Algorithm (WOA) for the ORC problem in Hasançelebi transformer substation are compared. According to the results obtained, it is observed that the WOA produces faster results than other optimization algorithms.

Keywords

Saplings Growing up Algorithm, League Championship Algorithm, Genetic Algorithm, Whale Optimization Algorithm, Overcurrent Relay Coordination

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