Real power transfer allocation method with the application of radial basis function network
Abstract
This paper proposes a new method to identify the real power transfer between generators and load using
modified nodal equations. It further focuses on creating an appropriate Radial Basis Function Network
(RBFN) to solve the problem in a simpler and faster manner. For this purpose, two separate stages
training algorithm have been chosen for the proposed RBFN power transfer allocation technique. Almost
all system variables obtained from load flow solutions are utilised as input to the neural network. The
validation of the proposed methodology is demonstrated by using the actual 25-bus equivalent power
system of south Malaysia, to illustrate the effectiveness of the RBFN technique compared to that of the
modified nodal equations method.