Using Hopfield neural network for economic dispatch of power systems

Abstract

The economic dispatch of power generating units have always occupied an important position in the electric power industry. This paper presents a Hopfield neural network model based method to solve economic dispatch of power systems. To solve the economic dispatch problem using Hopfield model, an energy function comprising power mismatch, total fuel cost and the transmission line losses along with their associated weighting factors is defined. One of the important considerations in applying Hopfield framework to economic dispatch of power systems is the proper selection of weighting factors. This paper presents a systematic approach to select these weighting factors. The method has been applied to three sample power systems and the results obtained are promising.