PID Güç Sistemi Kararlı Kılıcısı Parametrelerinin Belirlenmesi için Böbrek-ilhamlı Algoritma

Güç sistemi kararlı kılıcısı (PSS), düşük frekanslı salınımların bastırılması için etkili bir araçtır. Bu makalede, tek makinalı sonsuz baralı (TMSB) şebeke için Oransal İntegral Türevsel (PID) PSS'nin optimal tasarımında yeni bir algoritma kullanılmıştır. Kontrolör tasarım problemi, bir optimizasyon problemine dönüştürüldü ve kontrolörün PID parametreleri, güçlü bir optimizasyon metodu olan böbrek-ilhamlı algoritma (KA) kullanılarak ayarlandı. Yeni tasarımlanmış PIDPSS'in verimliliği, diferansiyel evrim (DE) ve yapay arı kolonisi algoritması (ABC) tabanlı PIDPSS tasarım yöntemlerine kıyaslanarak büyük ve küçük arızalar altındaki TMSB'ye uygulandı. Lineer olmayan zaman domeni simülasyon sonuçları, önerilen KA tabanlı kontrolörün (KA-PIDPSS) diğer yöntemlere göre daha mükemmel bir sönümleme performansı sağladığını göstermektedir.

Kidney-inspired Algorithm for Determination of PID Power System Stabilizer Parameters

Power system stabilizer (PSS) is an operative tool for the suppression of low frequency oscillations. In this article, a novel algorithm is used for the optimal design of Proportional Integral Derivative (PID) PSS for a single machine infinite bus (SMIB) network. The controller design problem is converted to an optimization problem and the PID parameters of controller are tuned by using kidney-inspired algorithm (KA) which is a powerful optimization method. The efficiency of the newly designed PIDPSS is applied to the SMIB under large and small disturbances in comparison with the differential evolution (DE) and artificial bee colony algorithm (ABC) based PIDPSS design methods. Nonlinear time-domain simulation results show that the proposed KA based controller (KA-PIDPSS) gives an excellent damping performance compared to other methods.

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