基于免疫思维进化算法的机组负荷优化分配  

Research on Unit Commitment Based on Immune Mind Evolutionary Algorithm

作　　者：黄文成[1] 谢刚[1] 

机构地区：[1]太原理工大学信息工程学院,山西太原030024

出　　处：《机械工程与自动化》2008年第5期38-40,共3页Mechanical Engineering & Automation

摘　　要：将免疫思维进化算法应用于火电厂机组负荷优化分配中,详细介绍和研究了该算法在负荷优化分配问题上的实现过程。仿真实例表明:该算法收敛性好,收敛速度快,能够有效地达到或接近最优解,从而为火电厂机组负荷优化分配的求解提供了新的有效算法。A new approach using Immune Mind Evolutionary Algorithm to solve unit commitment problem was proposed in this paper. The implementation method of the algorithm in unit commitment problem was studied in detail. The simulation shows that the algorithm has good convergence, higher convergence speed ,can achieve the whole optimization or get close to it more efficiently, it is a new effective optimization algorithm for solving unit commitment problem.

关 键 词：免疫思维进化算法 机组优化组合 收敛性 

分 类 号：TB115[理学—数学]