DocumentCode :
2921338
Title :
Economic dispatch by the combination of HNN and the Lagrange method
Author :
Bouakacha, Riad ; Salah, Leulmi
Author_Institution :
Dept. of Electr. Eng., Skikda Lab. of EPS, Skikda, Algeria
fYear :
2013
fDate :
28-30 Nov. 2013
Firstpage :
544
Lastpage :
548
Abstract :
In this work, we are going to solve the ED (economic dispatch) problem by the use of an HNN (Hopfield neural networks) model combined with the Lagrange method noted LHNN. In contrary to the techniques that use the linear function of the total inputs to neurons, we are going to use it at the non-linear form that allows the parameters of NN to contain all information of the original problem, so the HNN become able to reach exactly the solutions. At the end, simulations will be presented, with promising results, of a multi-objective economic environmental problem.
Keywords :
Hopfield neural nets; load dispatching; power engineering computing; ED problem; HNN; Hopfield neural network model; LHNN; Lagrange method; NN; economic dispatch; linear function; neuron; Economics; Equations; Hopfield neural networks; Mathematical model; Neurons; Optimization; Production; ED; HNN; Lagrange method; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Electronics Engineering (ELECO), 2013 8th International Conference on
Conference_Location :
Bursa
Print_ISBN :
978-605-01-0504-9
Type :
conf
DOI :
10.1109/ELECO.2013.6713905
Filename :
6713905
Link To Document :
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