大型风能发电机可靠性分配与评估方法研究

发布时间：2018-03-22 23:01

本文选题：风力机　切入点：故障模式　出处：《新疆大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着人们日益增大对可再生能源的需求,近年来风力发电产业得到了飞速发展。然而风力机的故障也在不断的出现,风力机可靠性研究成了焦点。我国在风力机可靠性研究方面起步较晚,风力机的可靠性研究对风电产业的健康发展意义重大。在国家自然科学基金项目:“大型风能发电机组裂化趋势稳定性预测方法研究”(51565055)的资助下,本文主要研究风力机的可靠性分配与评估。根据风力机结构和实际运行情况,进行可靠性建模,建立包含可修部分和不可修部分的系统的可靠性框图。通过查找相关文献,总结出各组成零部件的可靠性函数分布类型,并且以表格形式列出风力机各子系统的故障模式、影响及其危害分析,为风力机可靠性分配和评估提供依据。根据风力机具有多层次、失效因素多、模糊程度高等特点,风力机的可靠性分配矩阵标度采用三标度法的改进模糊层次分配法。先建立模糊一致判断矩阵,利用行和归一法求出权重向量,最终得出对象层相对目标层的权重。结合第二章计算出的风力机子系统的权重,更改广义成本函数,并引入了风力机运行维护成本,得出了符合风力机实际的总成本函数,并且利用遗传算法对风力机进行总成本优化,优化结果为风力机设计提供宝贵意见。针对风力机这种组成零件繁多、结构复杂的产品,所有的组成单元进行多次可靠性试验困难较大,因此本文对风力机的零部件可靠性评估采用Bayes评估方法。并对风力机零部件遵循的可靠性分布类型给出了相应的Bayes评估方法和仿真论证。为了减少可靠性试验成本问题,从风力机零部件的可靠性信息入手,由零部件可靠性推倒至系统可靠性。将子系统上存在的并联、表决的关系整合成串联的组成部分,最后对大串联进行可靠性评估。风力机不可修部分本文评估方法采用L-M评估法和Bayes方法。
[Abstract]:With the increasing demand for renewable energy, the wind power industry has developed rapidly in recent years. The research on the reliability of wind turbine has become the focus. The research on the reliability of wind turbine is of great significance to the healthy development of wind power industry. This paper mainly studies the reliability distribution and evaluation of wind turbine. According to the structure and actual operation of wind turbine, the reliability modeling is carried out, and the reliability block diagram of the system including repairable part and unrepairable part is established. The distribution types of reliability function of each component are summarized, and the failure modes, effects and hazard analysis of each subsystem of wind turbine are listed in the form of tables. It provides the basis for the reliability distribution and evaluation of the wind turbine. According to the characteristics of the wind turbine, such as multi-level, many failure factors, high degree of ambiguity and so on, The scale of reliability distribution matrix of wind turbine adopts the improved fuzzy hierarchical distribution method of three-scale method. Firstly, the fuzzy consistent judgment matrix is established, and the weight vector is obtained by row sum normalization method. Finally, the weight of the object layer relative to the target layer is obtained. Combined with the weight of the wind turbine sub-system calculated in the second chapter, the generalized cost function is changed, and the operating and maintenance cost of the wind turbine is introduced, and the total cost function in accordance with the actual wind turbine is obtained. The genetic algorithm is used to optimize the total cost of the wind turbine. The optimization results provide valuable advice for the wind turbine design. It is difficult for all components to carry out multiple reliability tests. In this paper, the Bayes method is used to evaluate the reliability of wind turbine components, and the corresponding Bayes evaluation method and simulation demonstration are given for the reliability distribution types of wind turbine components, in order to reduce the cost of reliability test. Starting with the reliability information of wind turbine components, the reliability of the components is pushed down to the reliability of the system. Finally, the reliability of large series is evaluated. L-M method and Bayes method are used to evaluate the unrepairable part of wind turbine.
【学位授予单位】：新疆大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM315

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