期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2012
卷号：3
期号：6
页码：1485-1491
出版社：IJECCE
摘要：This paper presents the application of differential evolution (DE) algorithm for the solution of economic dispatch problem with multiple fuels and valve point effects. DE is the one of the most prominent new generation evolutionary algorithms for global optimization. The important control parameters of DE algorithm such as the scaling factor F and crossover rate CR are kept constant in the classical DE algorithm. These parameters are randomly varied within a specified range so as to minimize the overall objective function. The selection of these control parameter values is a problem dependent task and which requires previous experience of the user. In the proposed approach, the scaling factor and crossover rate are predefined which constitute the control parameter pool. The search ability of the DE algorithm is improved by employing the control parameter pool. The performance of the algorithm is further improved by generating more number of trial vectors for each target vector and the concept of aging is implemented to avoid the premature convergence. The proposed algorithm is implemented for ten unit sample test system including multiple fuel options and valve point effects. The simulation results of the proposed algorithm are compared with the results using other methods reported in the recent literature. The comparison of results shows that the proposed DE algorithm outperformed other methods in terms of solution quality
