Tek bölgeli bir güç sisteminin yük frekans kontrolü için kayan kipli kontrol algoritmalarının değerlendirilmesi

Year 2026, Volume: 32 Issue: 3

Ali Efe Olcay , Murat Furat

https://doi.org/10.5505/pajes.2025.26109

Abstract

Bu çalışma, yük frekans kontrolünün (YFK) iki farklı yapıya sahip Kayan Kipli Kontrol (KKK) ile değerlendirilmesini ele almaktadır. YFK güç sistemlerinin önemli problemlerinden biri olduğundan, bu problem için özellikle iyi bilinen PID kontrolörüne dayalı birçok çözüm önerilmiştir. KKK, güç sistemleri için üzerinde durulan etkili bir alternatiftir. Bu nedenle, son zamanlarda popüler olan iki KKK algoritması tek alanlı bir güç sisteminin YFK için değerlendirilmiştir. Algoritmalardan biri model tabanlı, birinci dereceden KKK, diğeri ise hiperbolik tanjant fonksiyonu ile yumuşatılmış, modelsiz, ikinci dereceden süper bükümlü SMC algoritmasıdır. Kontrolörlerin optimizasyonu iki meta sezgisel algoritma olan Sinüs Kosinüs Optimizasyon Algoritması ve Gri Kurt Optimize Edici ile gerçekleştirilmiştir. Kontrolörlerin performansı uygulanan 0.1pu yük için değerlendirilmiştir. Detaylı sonuçlar tablo halinde ve grafiksel olarak verilmiştir.

Keywords

Yük Frekans Kontrolü , Kayan Kipli Kontrol , Sinüs Kosinüs Optimizasyonu , Gri Kurt Optimize Edici.

Evaluation of Sliding mode control algorithms for load frequency control of a single area power system

Abstract

This study deals with the evaluation of load frequency control (LFC) by sliding mode controllers (SMC), which have two different structures. As the LFC is one of the significant problems of power systems, there have been many solutions proposed for this problem, especially based on the well-known PID controller. The SMC is an effective alternative that has been focused on for power systems. Therefore, two recently popular SMC algorithms are evaluated for the LFC of a single-area power system. One algorithm is model-based, first-order SMC, and the other one is a modelfree, second-order super-twisting SMC algorithm smoothed with a hyperbolic tangent function. Optimization of the controllers is performed with two metaheuristic algorithms, the Sine Cosine Optimization Algorithm (SCA), and the Grey Wolf Optimizer (GWO). The controllers’ performance is evaluated for an applied 0.1pu load. Detailed results are given in tabulated form and graphically

Keywords

Load Frequency Control , Sliding Mode Control , Sine Cosine Optimization , Grey Wolf Optimizer

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