摘要
提出大数据技术在风电场发电量提升、数据分析、故障预警、技术改造等方面的研究方案。通过对整个风电场建设周期全局掌控,进行前期测风、投产数据、机组现状、产能评估等各阶段的大数据分析,应用具体实例着重指出风电项目低效产能原因。通过探讨提高风电场大数据收集可行性,加强对项目的准确评估,为投产项目效益提升提供可靠数据支撑,将风电场全生命周期数据作为衡量产能依据,提出针对性技改方案,采用大数据技术作为故障预警、设备诊断、运行优化、标准化提升的有效途径,为风电场设计建设各个环节提供精准的数据支持。
This paper puts forward the research ploject for large data technology in wind power generating capacity upgrade, data analysis, technical transformation, fault warning and so on. Through the control of the whole wind farm construction period of pre production, global wind data, unit status, capacity assessment at various stages of a large number of data analysis, the concrete application of the reason emphatically pointed out inefficient capacity of wind power project. Through the discussion on improving wind farm data collection feasibility, strengthen the accurate evaluation of the project, to provide reliable data support for the improvement of project benefit, the wind farm life cycle data as a measure of capacity basis, put forward specific technical solutions, as the effective way of fault waming, equipment diagnosis, operation optimization, standardization and promoting the the technology of data, providing accurate data support for all aspects of design and construction of wind farm.
出处
《电力大数据》
2017年第8期30-35,共6页
Power Systems and Big Data
关键词
大数据
故障预警
风电场
影响因素
产能效益
Large data
fault early warning
wind farm
influence factor
capacity benefit
