Optimum PID Kazançları Genetik Algoritma İle Hesaplanan Otomatik Gerilim Regülatörü

Year 2022, Volume: 14 Issue: 3, 351 - 361, 31.12.2022

İbrahim EKE

https://doi.org/10.29137/umagd.1176936

Abstract

Elektrik güç sistemlerinin en önemli parametrelerinden biri olan gerilim değerinin korunması modern güç sistemleri için hayati önem taşımaktadır. Otomatik gerilim regülatörleri güç sistemlerinde gerilim değerinin istenilen değerde korunmasını sağlarlar. Bu çalışmada otomatik gerilim regülatör sisteminde kontrolör yapısı olarak literatürde en yaygın kullanılan PID kontrolör yapısı kullanılmıştır. Bu çalışmada kontrolör parametre değerlerini ayarlamak için Genetik algoritma tekniği kullanılmıştır. Kullanılan tekniğin başarısı literatürde PID kontrolör kazanç değerlerini ayarlamada en yaygın kullanılan tekniklerden biri olan Ziegler-Nichols yöntemi ile karşılaştırılmıştır. Sunulan tekniğin başarısını göstermek için hem zaman domeni analiz yöntemleri hem de frekans domeni analiz yöntemleri bu çalışmada kullanılmıştır.

Keywords

Otomatik gerilim regülatörü, Genetik Algoritma, Zaman domeni analizi, Frekans domeni analizi.

Automatic Voltage Regulator with Optimum PID Gains Calculated by Genetic Algorithm

Abstract

Voltage level protection, which is one of the most important parameters of electrical power systems, is critical for modern power systems. Automatic voltage regulators make ensure that power systems' desired voltage level is maintained. The automatic voltage regulator system's controller structure in this study is based on the PID controller structure that has been utilized the most extensively in the literature. In this research, the controller parameter values are modified using a genetic algorithm technique. The Ziegler-Nichols approach, one of the most popular methods in the literature for modifying PID controller gain levels, is utilized to compare the effectiveness of the strategy used. Both time domain analysis methods and frequency domain analysis methods are employed in this study to show the effectiveness of the proposed strategy.

Keywords

Automatic voltage regulator, Genetic Algorithm, Time domain analysis, Frequency domain analysis

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