期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
期号：MULTICON
页码：2051
出版社：S&S Publications
摘要：In this paper, an efficient and practical real-coded genetic algorithm (GAs) has been proposed forsolving the economic dispatch problem. The objective is to minimize the total generation fuel cost and keep the powerflows within the security limits. For each problem of optimization in genetic algorithms (GAs) there are a large numberof possible encodings. Although binary representation is usually applied to power optimization problems, in this letterwe use a GAs, which is a modified GAs employing real valued vector for representation of the chromosomes. The useof real valued representation in the Gas has a number of advantages in numerical function optimization over binaryencoding. The efficiency of the GAs is increased as there is no need to convert chromosomes to the binary type, lessmemory is required, there is no loss in precision by discreet to binary or other values, and there is greaterfreedom to usedifferent genetic operators. A non-uniform arithmetic crossover operator was introduced into the Gas. We used a nonuniformarithmetic crossover operator produces a complimentary pair of linear combinations produced from randomproportions of the parents. The non-uniform mutation operator is used to inject new genetic material into the populationand it is applied to each new structure individually. A given mutation involves randomly altering each gene with asmall probability. The proposed technique improves the quality of the solution and speed of convergence of thealgorithm. The Coding are written and executed the values are plotted in graph for different values of MW loading.
