MULTI-OBJECTIVE OPTIMIZATION OF POWER PLANT MAINTENANCE PROJECTS BASED ON NSGA-Ⅱ
Reducing; power plant maintenance costs is an important way to improve the power enterprises production efficiency, for the current situation that maintenance assessment index is too single and the problem of high complexity is difficult to solve by common maintenance optimization methods, power plant multi-objective maintenance projects optimization model is established and solved by a method of fastnon-dominated-sorting genetic algorithm with elitist strategy (NSGA-Ⅱ) in this paper.This method overcomes the previous problem of single optimizing assessment index and improves the efficiency and robustness of the problem solving efficiency.By the case study of a 300MW power unit electric feed pump overhaul, it is proved that the establishment and solvent of this model is effective and feasible.
Power plant Multi-objective NSGA-Ⅱ Maintenance engineering
GU YU-JIONG REN ZHI-ZHENG CHEN KUN-LIANG CHEN DONG-CHAO
Key Laboratory of Condition Monitoring and Control for Power Plant Equipment of Ministry of Education,North China Electric Power University,Beijing 102206,China
国际会议
成都
英文
2409-2416
2011-11-25（万方平台首次上网日期，不代表论文的发表时间）