APLIKASI JARINGAN SYARAF TIRUAN PADA PENGENDALIAN FREKUENSI TURBIN UAP

Abstract

The needs of electricity increase rapidly; energy resource from the power plant cannot fulfill those needs. Steam turbine that mostly used is vital equipment in a power plant. This paper presents the result of the numerical study on the frequency control using Neural Network. In operating steam turbine, the stability level frequency is important maintained because has significant effect to the output. Neural Network application has been done the design of neural network controller on the plant. While neural network plant and controller are combined, or online training, then the result is approaching the set point with 0,000899902 errors.