application of neural network to operation of power generating units

Abstract

The authors propose a new method based on neural network technology to optimize the operation of generating units. The iterative use of a neural network permits less accuracy of learning and makes the method applicable to larger power systems. Simulations of transmission loss reduction and steady-state stability improvement have demonstrated the effectiveness of the proposed method.<>