Application of Improved Genetic Algorithm in Maintenance Decision for Turbine-Generator Unit
The complicated function relations are more prone to appear in the maintenance scheduling of steam-turbine generator unit.Many constrained conditions are often attendant with these function relations.In these situations,the traditional method often can not obtain the exact value.The genetic algorithm (GA),a kind of the heuristic algorithms,does not need the function own good analytic properties.In addition,as the operating unit of GA is the group,so it applies to the parallel computing process.In GA executive process,the offspring continually inherit the genes from the parents,so it is more prone to be involved in the local convergence.An improved genetic algorithm is proposed and used in the model of maintenance decision of turbine-generator unit under.The goal of the model is to seek to the rational maintenance scheduling of the generator unit,so as to minimize the sum of the maintenance expense,the loss of the profit on the generated energy,and the loss of the penalty.It is proved by the example that IGA is highly efficient.
turbine-generator unit genetic algorithm complex method maintenance decision
He Qing Zhang Jianding
National Engineering Laboratory for Biomass Power Generation Equipment, Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Ministry of Education, School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206,China
国际会议
重庆
英文
2940-2944
2010-12-11（万方平台首次上网日期，不代表论文的发表时间）