Title :
A genetic algorithm for economic dispatching of generators
Author_Institution :
Comput. Sci. Dept., Notre Dame Univ., Jounie, Lebanon
Abstract :
Solving economic dispatching problems in which generators suffer from prohibited zones is a challenging problem. In this paper, a solution based on genetic algorithm (GA) is suggested. An advantage of GA solutions is that they do not impose any convexity restrictions on the generators cost functions. Therefore, they are well suited to deal with prohibited operating zones.
Keywords :
cost-benefit analysis; econometrics; genetic algorithms; power generation dispatch; statistical testing; cost function; fitness function; generators economic dispatch; genetic algorithm; Cost function; Dispatching; Feeds; Fuel economy; Genetic algorithms; Power generation economics; Power industry; Power system economics; Production; Pumps;
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on
Print_ISBN :
0-7803-8482-2
DOI :
10.1109/ICTTA.2004.1307867
