摘要
改进了一种基于云模型的遗传算法用以解决火电机组负荷优化分配问题。该算法将遗传算法的重组算子及变异算子进行云化,继承了云模型的随机性和稳定倾向性的特点。将该方法应用于某厂4台机组进行负荷优化分配,并与标准遗传算法进行比较,结果显示该方法的可行解优于标准遗传算法,证明了该方法在求解机组负荷优化分配问题的有效性及优越性。
The paper improves a genetic algorithm based on cloud model for solving thermal power units load dispatch problem. The algorithm transforms the recombination operator and mutation operator into cloud-based operators, and carries forward the advantage of the cloud model which has the properties of randomness and stable tendency. The new algorithm is applied to the load distribution problem for four units in a certain power plant, the result is obviously better than the standard genetic algorithm when comparing and shows that the new algorithm is feasible in solving the thermal power units load distribution problem.
出处
《陕西电力》
2012年第12期43-46,共4页
Shanxi Electric Power
关键词
负荷分配
遗传算法
云模型
火电机组
load distribution
genetic algorithm
cloud model
thermal power units
