Design of Decentralized Neuron Based LFC in a Deregulated Power System

Abstract:- This paper presents a new decentralized Artificial Neural Network (ANN) controller based on the mixed H2/H ∞ control technique for Load Frequency Control (LFC) in a deregulated power system. To achieve decentralization, the effects of possible contracted scenarios and interfaces between control areas are treated as a set of new input disturba-nce signals. In order to account modeling uncertainties, cover practical constraints on control action and minimize the effe-cts of area load disturbances, the idea of mixed H2/H ∞ control technique is being used for training ANN based controller. This newly developed design strategy combines advantage of the ANN and mixed H2/H ∞ control techniques for improve-ing robust performance and leads to a flexible controller with simple structure, which can be useful in real world complex power systems. The proposed method is tested on a two-area power system to demonstrate its robust performance with possible contracted scenarios under large load demands and modeling uncertainties. The results of proposed controller are compared with mixed H2/H ∞ and PI controllers in the presence of Generation Rate Constraints (GRC)