摘要
基于大数据、人工智能与云计算等信息技术,分别从风电场设计的资源分析、机组布置、基础优化、升压站优化等4个主要方面,对风电场智能化设计云平台开发的关键技术进行了研究分析。结果表明,该云平台的开发将促进专业协作,提升全局优化能力,提高风电场技术经济水平。
Based on big data,artificial intelligence,cloud computing and other information technologies,the key technologies for the development of a cloud platform for intelligent wind farm design are studied from four main aspects of wind resource analysis,unit layout,foundation optimization and set-up substation optimization.The research results show that the development of this cloud platform will promote professional collaboration,improve global optimization capabilities,and improve the technical and economic level of wind farms.
作者
彭怀午
胡己坤
田伟辉
吕昶
PENG Huaiwu;HU Jikun;TIAN Weihui;LV Chang(PowerChina Xibei Engineering Corporation Limited,Xi'an 710065,Shaanxi,China)
出处
《水力发电》
北大核心
2020年第9期19-22,62,共5页
Water Power
关键词
风电场
智能化设计
云平台
全局优化设计
wind farm
intelligent design
cloud platform
global optimized design
作者简介
彭怀午(1979-),男,湖北荆州人,正高级工程师,博士,主要从事新能源发电设计与研究工作.
