改进免疫算法在火电机组优化运行中的应用  

Application of the Improved Immune Algorithm in Optimal Operation of Fossil-fired Power Unit

作　　者：任雯[1] 

机构地区：[1]三明学院物理与机电工程系,福建三明365004

出　　处：《自动化仪表》2010年第12期24-27,31,共5页Process Automation Instrumentation

基　　金：福建省教育厅科技基金资助项目(编号:JK2009040);福建省高校服务海西建设重点工程基金资助项目(编号:HX200804)

摘　　要：为克服传统优化算法和遗传算法无法快速有效得到全局最优解的问题,介绍了将免疫算法和禁忌搜索算法的优点相结合的改进免疫算法。在建立和分析火电机组数学模型的基础上,通过函数测试证明了使用改进免疫算法求解机组优化运行问题的可行性。最后,经实例验证表明,改进免疫算法具有良好的搜索性能,它为火电厂机组优化运行问题提供了一条新的有效求解途径,可应用于更广泛的优化问题。With traditional optimization algorithm or genetic algorithm,it is very difficult to quickly obtain global optimum solutions,to overcome this disadvantage,the improved immune algorithm combines the advantages of both immune algorithm and tabu searching algorithm is introduced.On the basis of establishing and analyzing the mathematical model of fossil-fired power unit,through the functional test,the feasibility of using improved immune algorithm to solve the optimization of fossil-fired power unit is proved.The verification of practical example shows that this algorithm offers excellent searching performance;it provides another new and effective path to optimize the power unit operation,and can be applied in wider optimization tasks.

关 键 词：全局最优解 免疫算法 禁忌搜索算法 函数测试 火电机组 优化运行 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]