基于生物地理优化的输电约束经济负荷调度

Jitendra Singh, S. Goyal
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引用次数: 2

摘要

目前,由于用户负荷的增加,电力危机日益严重。为了克服这一问题,一些优化技术被用于解决经济负荷调度问题。本文提出了一种高效、可靠的基于生物地理的优化算法(BBO),用于在考虑发电机和输电约束并满足约束的情况下求解火电厂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。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方法之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transmission constrained economic load dispatch using biogeography based optimization
In present days, power crisis increasing due to increase the consumer's load. To overcome this problem some optimization techniques have been used to solve the economic load dispatch problem. This paper presents an efficient and reliable Biogeography Based Optimization (BBO) algorithm, which is used to solve the Economic Load Dispatch problem of thermal power station even as generator and transmission constraints are considered 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. 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 prominent approaches for solving the Economic Load Dispatch problems under practical conditions.
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