A hopfield neural network method solution to economic dispatch problem

摘要

This paper analyzes and tests an economic dispatch algorithms; which is a fast-computation Hopfield neural network. A direct computation Hopfield neural network method has been developed and used for solving the economic dispatch (ED) problem of thermal generators, which employs a linear input-output model for the neurons. Formulations for solving the ED problem are explored. Through the application of these formulations, direct computation instead of iterations for solving the problem becomes possible. Not like the usual Hopfield methods, which select the weighting factors of the energy function by trials, the proposed method determines the corresponding factors by calculations. The effectiveness of the developed method is identified through its application to test case system. Computational results manifest that the method has a lot of excellent performances.