Load Frequency Control Optimization for Hydroelectric Systems Based on Type-II Fuzzy Deep Learning

This paper will propose a novel technique for optimizing hydroelectric (hydropower plants) on a small scale based on load frequency control that uses the self-tuning fuzzy proportional derivative method. Due to the fact that frequency is not controlled by any dump load or something else, this power...

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Detalles Bibliográficos

Autores principales:	Ghanshyam G. Tejani, Sumit Kumar
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Bilijipub publisher 2023-12-01
Colección:	Journal of Artificial Intelligence and System Modelling
Materias:	hydropower microgrid proportional-derivative fuzzy type-ii load frequency control deep spiking neural network
Acceso en línea:	https://jaism.bilijipub.com/article_186539_08e928c5f35fc5ac91494d23e0d903d7.pdf
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