Title :
NARMA-L2 controller for three-area load frequency control
Author :
Adaryani, M.R. ; Afrakhte, H.
Abstract :
This paper investigates the load-frequency control (LFC) based on neural network for improving power system dynamic performance. The objectives of this control action are regulation of the frequency at area and minimization the deviation of interchange power between control areas. The controller is adaptive and is based on a nonlinear autoregressive moving average (NARMA-L2) algorithm. The controller was implemented using MATLAB/Simulink on three-area load frequency power systems. A comparative study between proposed controller and PI controller tuned by real coded genetic algorithm (GA) will be presented and the advantages of this controller on a wide range of operating conditions will be shown.
Keywords :
PI control; autoregressive moving average processes; frequency control; genetic algorithms; load regulation; neural nets; NARMA-L2 controller; PI controller; genetic algorithm; load frequency control; neural network; nonlinear autoregressive moving average algorithm; power system dynamic performance; Area Control Error (ACE); Artificial Neural Network (ANN); Genetic Algorithm (GA); Load Frequency Control (LFC);
Conference_Titel :
Electrical Engineering (ICEE), 2011 19th Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4577-0730-8
