基于全寿命周期的风电企业设备采购与运维管理研究

发布时间：2018-10-11 11:27

【摘要】：常规化石能源的存量锐减和生态环境的污染破坏为新能源的发展提供了契机。作为可再生能源,风电以其巨大的减排效益和较低的发电成本成为了最受欢迎的清洁能源之一。在过去的十年中,中国的风电产业有了突飞猛进的发展,装机容量居世界第一,但与此同时也面临着并网发电困难、弃风限电严重的瓶颈。风电设备是风电场运营的直接载体,风电设备管理的好坏直接影响着风电企业的经济效益和风电产业的健康程度。在我国风电产业可持续发展的需求下,进行基于全寿命周期的风电设备采购与运维管理研究就显得尤为重要。本文首先在对全寿命周期管理研究现状综述的基础上,阐述了风电设备、设备全寿命周期管理、供应商选择评价和BP神经网络等相关基础理论,论述了风电设备全寿命周期管理的阶段和内容。其次,分析了我国风电设备采购及运维管理的现状、存在的问题及成因,探讨了对风电设备实施全寿命周期管理的必要性。再次,分析了风电设备采购管理的目标和流程,在现行的指标体系的基础上,运用全寿命周期管理方法,新增了可靠性、全寿命周期成本、并网能力和度电成本等指标,运用SPSS软件对指标进行了分析,构建了风电设备供应商选择评价指标体系,运用BP神经网络方法构建了风电设备供应商选择评价模型,通过实例验证了模型的有效性。最后,从开展全寿命周期管理绩效评估、健全风电设备全面管理制度、强化风电设备状态检修管理、提高风电设备并网能力和加强风电设备信息化管理五个方面,对风电设备运维管理提出了策略建议,为风电企业加强设备管理提供了借鉴和参考。
[Abstract]:The sharp reduction of the stock of conventional fossil energy and the destruction of ecological environment provide an opportunity for the development of new energy. As a renewable energy, wind power has become one of the most popular clean energy with its huge emission reduction efficiency and low power generation cost. In the past ten years, China's wind power industry has developed by leaps and bounds, and its installed capacity ranks first in the world, but at the same time, it is also faced with the difficulty of grid-connected power generation and the serious bottleneck of abandoning wind and limiting electricity. Wind power equipment is the direct carrier of wind farm operation. The management of wind power equipment directly affects the economic benefits of wind power enterprises and the health degree of wind power industry. Under the demand of sustainable development of wind power industry in China, it is very important to study the purchasing and operation management of wind power equipment based on the whole life cycle. In this paper, based on the review of the current research situation of life-cycle management, the related basic theories, such as wind power equipment, equipment life-cycle management, supplier selection evaluation and BP neural network, are expounded in this paper. The stage and content of the whole life cycle management of wind power equipment are discussed. Secondly, the paper analyzes the current situation, existing problems and causes of wind power equipment purchasing and operation management in China, and probes into the necessity of implementing the life-cycle management of wind power equipment. Thirdly, the paper analyzes the goal and flow of wind power equipment purchasing management. Based on the current index system, it adds some new indicators, such as reliability, life cycle cost, grid connection ability and power cost, using the method of whole life cycle management. The evaluation index system of wind power equipment supplier selection is constructed by using SPSS software, and the evaluation model of wind power equipment supplier selection is constructed by using BP neural network method. The validity of the model is verified by an example. Finally, from five aspects: developing the performance evaluation of the whole life cycle management, perfecting the overall management system of wind power equipment, strengthening the management of wind power equipment condition maintenance, improving the ability of wind power equipment to connect to the grid and strengthening the information management of wind power equipment. Some suggestions are put forward for wind power equipment operation and maintenance management, which provides a reference for wind power enterprises to strengthen equipment management.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F426.61;F273.4;F274

【参考文献】