A dynamic wavelet network based adaptive load frequency control in power systems

Abstract

This paper proposes a new adaptive load frequency controller based on a 'dynamic wavelet network (DWN)' that has lag dynamics, nonorthogonal mother wavelets as activation function and interconnection weights. A DWN is connected between the two area power systems. The input signals of the DWN are the ACEs and their changes. The outputs of the DWN are the control signals for the two-area load frequency control. Adaptation is based on adjusting parameters of DWN for load frequency control. This is done by minimizing the cost functional of load frequency errors. The cost gradients with respect to the network parameters are calculated by adjoint sensitivity analysis. It is illustrated in simulations that this control approach is more successful than conventional integral controller for load frequency control in two area systems