遗传和模拟退火算法在发电机组检修计划中的应用  

A METHOD COMBINING GENETIC ALGORITHM WITH SIMULATED ANNEALING APPROACH FOR THERMAL UNIT MAINTENANCE SCHEDULING

作　　者：陈少华[1] 杨澎[1] 周永旺[1] 何瑞文[1] 

机构地区：[1]广东工业大学电气工程系,广州510090

出　　处：《电力系统自动化》1998年第7期44-46,共3页Automation of Electric Power Systems

摘　　要：介绍了用遗传和模拟退火组合算法来制定大力发电机组检修计划的方法，该算法以生产费用和检修费用之和最小为优化目标。文中给出了一种用位串对检修计划进行编码和解码的有效方法，并考虑了检修中可能出现的约束条件。算例说明了该算法的可行性。This paper introduces a genetic algorithm combined with simulated annealing approach to decide the thermal unitmaintenance scheduling with minimum cost including production and maintenance. Practical maintenance constraints areconsidered through penalty function. Combined with sirnulated annealing approach. the genetic algorithm is improved. Theeffectiveness of the approach is demonstrated by applying it to a practical system.

关 键 词：检修计划 遗传算法 模拟退火算法 发电机组 

分 类 号：TM310.72[电气工程—电机]