Tristör Kontrollü Reaktörün Sinirsel Bulanık Denetim Esaslı Reaktif Güç Kontrolü

Abstract

In this study, the reactive power of thyristor controlled reactor (TCR) that is fundamental element of flexible ac transmission system devices is controlled using neuro-fuzzy controller. Adaptive neuro fuzzy inference system (ANFIS) is used as neuro-fuzzy control architecture. A simulation model was developed in MATLAB / Simulink environment to examine the performance of the proposed controller. Figure A. Proposed Method for Reactive Power Control of Thyristor Controlled Reactor Purpose: Conventional Proportional Integral (PI) controller is mostly used flexible AC transmission system (FACTS) devices. However, system parameter variations and non-linear system structures severely impair the performance of this controller. In this study, the neuro-fuzzy controller is used for overcome to these disadvantages. Theory and Methods: The neuro-fuzzy controller is designed for reactive power control of TCR. Adaptive neuro-fuzzy inference system (ANFIS) is used as neuro-fuzzy control architecture. In order to examine the performance of the proposed controller, two different cases are simulated in the studies. The reactive power control performance of the proposed controller is compared to two PI controllers. Results: Simulation results show that the tracking of the reference reactive power of proposed controller is more successfully than to PI controllers. The results that are obtained under the voltage disturbance condition show that, the neuro-fuzzy controller is better disturbance rejection capability than PI controllers. Conclusion: In this study, the neuro-fuzzy controller is used for reactive power control of TCR. The proposed controller for TCR is more superior than conventional PI controllers in terms of control performance parameters (rising time, settling time and overshoot) values. The proposed controller has improved the reactive power control capabilities of thyristor controlled reactor.

Anfis İle İlgili Yapılmış Çalışmaların İçerik Analizi İle Değerlendirilmesi: Tr Dizin

“…Örneğin (Gholami vd., 2020), çalışmalarında performans ölçümü için Taylor diyagramını kullanmışlardır. Bazı çalışmalarda ise performans ölçüm yöntemleri kullanılmayarak sadece grafiksel bir sunum yapılması ise oldukça dikkat çekicidir (Atlihan vd., 2017;Caner vd., 2009;Çoban ve Bilgiç, 2019;Dalkilic ve Apaydin, 2009;Güngör ve Özdemir, 2018;Havangi vd., 2012;Keçecioğlu ve Kılıç, 2019;Miloudi vd., 2007;Oğuz ve Güney, 2010;Ortatepe ve Parlaktuna, 2017;Şit vd., 2016;Toylan ve Hüner, 2017). Bu sonuçlar araştırmalarda performasn ölçüm yöntmelerinin kullanılmasında uygun olan yöntemlerin seçilerek birden fazla yöntemin bir arada kullanılması gerekliliğini ortaya koymaktadır.…”