A Novel Intelligent Unified Controller for the Management of the Unified Power Flow Controller (UPFC) Using a Single Back Propagation Feed forward Artificial Neural Network

Since the advent of the UPFC there have been immense developments, based on control systems associated with the management of the UPFC. Traditionally the PI, Fuzzy and Neural Network control techniques have been in used for the four control units of the UPFC. This paper presents the design and development steps of a novel control scheme for the UPFC. The proposed technique believes that a single combined ANN based controller can be trained appropriately to handle all the mappings associated with the inputs and the corresponding outputs associated with all the controllers of the UPFC. It is demonstrated in this paper by way of simulations in the MATLAB / SIMULINK environment how a single ANN can be developed and used in place of the four controllers usually used in the management of the UPFC. The observations of enhanced performance in terms of improved dynamic behaviour by the usage of a single ANN control strategy are presented in this paper.