Yusuf OYSAL, Ahmet Serdar YILMAZ, Etem KÖKLÜKAYA

Dynamic fuzzy networks based load frequency controller design in electrical power systems

Bu makalede, akıllı denetim esasına dayanan bir yük frekans denetleyicisi önerilmiştir. Önerilen yeni kontrolör sinir ağları ve bulanık mantık teknolojilerinin sakıncalı taraflarının üstesinden gelmekte ve her birinin üstün taraflarını kullanmaktadır. Kendi işlem birimlerinde geciktiriciler ve integratörler gibi dinamik elemanları içeren bir dinamik bulanık ağı (DBA), bir yük frekans denetimi tasarımında kullanılmıştır. Tasarım, DBA parametrelerinin hesaplanmasına dayanır. Bu da yük frekans hata masraflarını içeren bir ölçütün en aza indirilmesi ile sağlanır. Gerekli olan ölçütün ağ parametrelerine göre gradyanları, adjoint duyarlılık analizi ile hesaplanmıştır.

Elektrik güç sistemlerinde dinamik bulanık ağ tabanlı bir yük frekans denetleyici tasarımı

In this paper, a new controller based on intelligent control technologies for load frequency control (LFC) is proposed. This controller overcome some drawbacks of neural network and fuzzy logic technologies and may also allow for the incorporation of both heuristics and deep knowledge to exploit the best characteristics of each. A "Dynamical Fuzzy Network (DFN)" that contains dynamical elements such as delayers or integrators in their processing units is used in the controller design for LFC. This design is based on adjusting parameters of DFN. This is done by minimizing the cost functional of load frequency errors. The cost gradients with respect to the network parameters are calculated by adjoint sensitivity analysis.

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