Online Solving Of Economic Dispatch Problem Using Neural Network Approach And Comparing It With Classical Method
- 1 January 2006
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 581-586
- https://doi.org/10.1109/icet.2006.335922
Abstract
In this study, two methods for solving economic dispatch problems, namely Hopfield neural network and lambda iteration method are compared. Three sample of power system with 3, 6 and 20 units have been considered. The time required for CPU, for solving economic dispatch of these two systems has been calculated. It has been shown that for on-line economic dispatch, Hopfield neural network is more efficient and the time required for convergence is considerably smaller compared to classical methodsKeywords
This publication has 2 references indexed in Scilit:
- Using Hopfield neural network for economic dispatch of power systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Economic load dispatch for piecewise quadratic cost function using Hopfield neural networkIEEE Transactions on Power Systems, 1993