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：2014
卷号：3
期号：8
页码：15212
DOI：10.15680/IJIRSET.2014.0308021
出版社：S&S Publications
摘要：This paper presents a biogeography-based optimization (BBO) algorithm to solve both convex and nonconvexeconomic load dispatch (ELD) problems of thermal plants. Lack of exploration capability of biogeographybasedoptimization (BBO) leads to slow convergence. The proposed methodology can take care of economic dispatchproblems involving constraints such as transmission losses, valve point loading, multi-fuel options and prohibitedoperating zones. Biogeography is the study of the geographical distribution of biological organisms. Mathematicalequations that govern the distribution of organisms were first discovered and developed during the 1960s. The mindsetof the engineer is that we can learn from nature. This motivates the application of biogeography to optimizationproblems; the BBO is based on two steps mutation and migration. The purpose of this work is to find out theadvantages of application of the soft computing technique and BBO in particular to the economic load dispatchproblem.
