基于生物地理学优化技术的经济负荷调度问题优化

Jitendra Singh, S. Goyal
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引用次数: 5

摘要

提出了一种基于生物地理的优化技术,在考虑发电机组和输电系统约束并满足约束条件的情况下,求解电力系统的经济负荷调度问题。生物地理学基本上是研究生物有机体的地理分布。基于生物地理学的优化是一种比较新的方法。生物地理学的数学模型解释了生物是如何产生的,以及如何从一个栖息地迁移到另一个栖息地,或者如何灭绝。在BBO算法中,解决方案在迁移过程和迁移过程之间共享良好的特征。该算法主要通过迁移和变异两个步骤寻找整体最优解。在不同的种群大小和不同的试验次数下得到结果。将所提方法的结果与IEEE 30总线、6发电机系统的结果进行了比较,得到的解质量更好。该方法是解决实际条件下经济负荷调度问题的重要途径之一。
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Optimization of economic load dispatch problems using biogeography based optimization technique
This paper presents a Biogeography Based Optimization (BBO) technique to solve the Economic Load Dispatch problem even as considered the generator and transmission constraints and satisfying it. Biogeography basically is the study of the geographical distribution of the biological organism. Biogeography based optimization is a comparatively new approach. Mathematical models of biogeography explain how an organism arises and how to migrate from one habitat to another habitat, or get died out. In BBO algorithm, solutions are sharing the good features between solutions that are immigration and emigration process. This algorithm looks for the overall optimum solution mostly through two steps - Migration and Mutation. Results are obtained on the different-different population size and different-different number of trials. The Results of the proposed method have been compared with results of IEEE 30-bus, 6 generator system and got the better quality of the obtained solution. This method is one of the important approaches for solving the Economic Load Dispatch problems under practical conditions.
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