Constrained economic dispatch with prohibited operating zones: a Hopfield neural network approach

Abstract

The work explores the use of Hopfield neural network for a load dispatch problem in a power system. It is a constrained economic dispatch problem with prohibited operating zones. Yalcinoz and Short (1997) discussed a special methodology to improve the performance of Hopfield networks for solving the unconstrained economic dispatch problem. In this paper the improved Hopfield network is applied to the constrained economic dispatch problem. A new mapping process has been used and a computational method for obtaining the weights and biases is described using a slack variable technique for handling inequality constraints. Applying the proposed approach is demonstrated by a 15 unit system with 4 units having prohibited zones.