• Jabinbanu M Nadaf

Economic power dispatch problem plays an important role in the operation of power systems. The objective of economic dispatch problem is to schedule output of the committed units such that the total fuel cost is minimized while meeting a set of operating constraints. This paper presents an approach based on genetic algorithm (GA) to solve the economic load dispatch (ELD) problem with losses for three and six thermal plant systems. Genetic algorithms are adaptive search methods that simulate some of natural process: selection, information, inheritance, random mutation and population dynamics. The performance of genetic algorithm – intelligent approach (GAS) is compared with the conventional method and is observed that this method is accurate and may replace effectively the conventional practices presently performed in different central load dispatch centers.

Economic dispatch, Genetic algorithms, Prohibited zones, Lambda-iteration, Network losses.

"Economic Load Dispatch Using Genetic Algorithm Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 4, page no.890-894, September 2014, Available :http://www.jetir.org/papers/JETIR1701978.pdf

"Economic Load Dispatch Using Genetic Algorithm Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 4, page no. pp890-894, September 2014, Available at : http://www.jetir.org/papers/JETIR1701978.pdf