基于遗传算法的火电厂机组间负荷分配的研究  

Research on the Plant's Optimal Load Dispatch of Thermal Power Plant Based on Genetic Algorithm

作　　者：商灵默[1] 刘星[1] 

机构地区：[1]山东交通职业学院,山东潍坊261206

出　　处：《潍坊学院学报》2008年第4期27-30,共4页Journal of Weifang University

摘　　要：讨论了在火电厂负荷分配中常用的三种方法:等微增率法、动态规划法和遗传算法。采用不同的方法对火电厂机组间的负荷分配进行计算,并对结果进行比较。使用遗传算法来计算火电厂机组间的负荷分配,计算结果简单准确。该算法具有广阔的应用前景。This paper discussed the three methods of how to distribute the load of the power plate： the principle of equal incremental production cost, the dynamic programming and the genetic algorithm. For comparison, the different methods were used to account how to distribute the load into different units in a same plate. As a result, we can see that the genetic algorithm is very useful and has expansive foreground of application in the actual project.

关 键 词：负荷分配 等微增率法 动态规划法 遗传算法 

分 类 号：TB115[理学—数学]