Load frequency control in interconnected power system using modified dynamic neural networks

Authors:
Publisher website
Google Scholar
Abstract
This paper present power system load frequency control by modified dynamic neural networks controller. The controller has dynamic neurons in hidden layer and conventional neurons in other layers. For considering the sensitivity of power system model, the neural network emulator used to identify the model simultaneously with control process. To have validation of proposed structure of neural network controller the results of simulation demonstrated that the proposed controller offers better performance than conventional neural network controller.

This publication has 5 references indexed in Scilit: