Comparison of Single Layer and Multilayer Feed-Forward Architecture for On-line Economic Load Dispatch Problem

Abstract

AbstractThis paper compares the single layer and multi layer feed forward architecture for on line Economic Load Dispatch (ELD) problem. The economic load dispatch (ELD) is an important problem for real time power system planning and Operation. The conventional methods used for economic load dispatch are iterative techniques and takes longer time for computation. Neural Network (NN) provides an alternate solution for on-line Load Dispatch. The on-line Load Dispatch requires the NN model to be accurate, simple and structurally compact to ensure faster execution time for effective load dispatch. This in turn to a large extent depends on the type of Neural Architecture. In this paper, single layer feed-forward (SLFF) and multilayer feed-forward (MLFF) neural architecture are designed for on-line economic load dispatch problem. Their performance is compared in terms of accuracy and structural compactness. The results are validated for IEEE 26 Bus system. The promising results obtained are presented.KeywordsFeed-forward neural architectureSLFF-NNMLFF-NNArtificial neural networkEconomic load dispatch