Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
International Journal of Soft Computing
Year: 2007  |  Volume: 2  |  Issue: 3  |  Page No.: 373 - 377

An Efficient Genetic a Lgorithm to Solve the Problem of the STEG Economic Power Dispatch

I. Bekri-Abbes, H. Rahmouni and N. Ghrab-Marcos    

Abstract: In the new competitive electricity supply industry, there is a renewed interest in algorithms that can provide saving in operation cost. An optimal scheduling of generators can provide substantial annual saving in fuels costs. But this highly constrained non linear mixed integer optimization problem can only be fully solved by complete enumeration, a process which is not computationally feasible for realistic power systems. An attempt has been made in this research to solve the problem of power economic dispatch of the Societe Tunisienne d’Electricite et du Gaz (STEG) using Genetic Algorithm.

Fulltext    |   Related Articles   |   Back
   
 
 
 
  Related Articles

 
 
 
 
 
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility