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Research Journal of Engineering and Technology
ISSN: 2321-581X(Online), 0976-2973(Print)
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NARMA-L2 Controller for Five-Area Load Frequency Control
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Department of Electrical Engineering, Maharishi Dayanand University, Rohatak Haryana
This paper investigates the load-frequency control (LFC) based on neural network for improving power system dynamic performance. In this paper an Artificial Neural Network (ANN) based controller is presented for the Automatic Generation Control (AGC) of a five area interconnected power system. The proposed control has been designed for a five-area interconnected power system using artificial neural network (ANN) controller, which controls the inputs of each area in the power system together. The controller is adaptive and is based on a nonlinear auto regressive moving average (NARMA-L2) algorithm. The working of the controllers is simulated using MATLAB/ SIMULINK package.
Area Control Error (ACE), Artificial Neural Network (ANN), Genetic Algorithm (GA), Load Frequency Control (LFC), Artificial Neural Network (ANN).
Priyanka Sharma. NARMA-L2 Controller for Five-Area Load Frequency Control. Research J. Engineering and Tech. 5(3): July-Sept. 2014 page 121-127.
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