机构地区: 清华大学信息科学技术学院自动化系
出 处: 《清华大学学报(自然科学版)》 2014年第7期942-951,共10页
摘 要: 随着海上风电产业的规模化发展,大型海上风电场对风电机组维护保养的要求也将越来越高,全面地考虑影响海上风电场维护工作的各项因素,科学合理地实施风电机组维护工作,对于降低风电场运营成本、提高风电场运营效率具有重要的作用。该文着眼于提高海上风电场维护工作效率,提出了基于广义随机Petri网(GSPN)的维护过程建模仿真方法。通过对海上风电场维护工作全过程的分析,按照维护工作过程的层次结构自顶向下建立了相应的着色Petri模型,运用GSPN相关理论对工作票的执行过程及其实施效率进行了深入论述,采用着色Petri网仿真工具CPN Tools对维护过程进行了仿真,并对影响维护工作的相关因素进行了分析。 With the large-scale development of offshore wind power industry,the requirement of the maintenance for offshore power turbines will be more and more higher.Considering the various factors influencing the offshore wind farm maintenance work comprehensively,the implementation of the scientific and reasonable unit maintenance will significantly reduce operating cost of wind power,and improve the operational efficiency of wind farm.For improving the efficiency of offshore wind farm maintenance,this paper proposes a maintenance processes modeling and simulation method based on generalized stochastic Petri net(GSPN).Through the analysis of the offshore wind farm maintenance process,and according to the hierarchical structure of the maintenance process of top-down,the corresponding colored Petri model was built,with the execution of the working ticket process and its implementation efficiency further discussed using the theory of GSPN.By using shading Petri net simulation tool,CPN,the maintenance process was simulated,with the relevant factors influencing the maintenance work analyzed.The results show the effectiveness of the developed method.
领 域: [自动化与计算机技术] [自动化与计算机技术]