TY  - JOUR
T1  - An Efficient Genetic a Lgorithm to Solve the Problem of the STEG Economic Power Dispatch
AU - , I. Bekri-Abbes AU - , H. Rahmouni AU - , N. Ghrab-Marcos 
JO  - International Journal of Soft Computing
VL  - 2
IS  - 3
SP  - 373
EP  - 377
PY  - 2007
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2007.373.377
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2007.373.377
KW  - Economic power dispatch
KW  -genetic algorithm
KW  -spinning reserve
KW  -load demand
AB  - 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.
ER  -