Designing a modified Hopfield network to solve an economic dispatch problem with nonlinear cost function

Author(s):  
I. Nunes de Silva ◽  
L. Nepomuceno ◽  
T.M. Bastos
Author(s):  
Wanchai Khamsen ◽  
Chiraphon Takeang ◽  
Patiphat Aunban

This article is focused on hybrid method for solving the non-smooth cost function economic dispatch problem. The techniques were divided into two parts according to: the incremental cost rates are used to find the initial solution and bee colony optimization is used to find the optimal solution. The constraints of economic dispatch are power losses, load demand and practical operation constraints of generators. To verify the performance of the proposed algorithm, it is operated by the simulation on the MATLAB program and tests three case studies; three, six and thirteen generator units which compared to particle swarm optimization, cuckoo search algorithm, bat algorithm, firefly algorithm and bee colony optimization. The results show that the proposed algorithm is able to obtain higher quality solution efficiently than the others methods.


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