摘要
随着人工智能等相关技术的迅猛发展,国内外各发电公司都在推进智慧风电工程,提高风电企业的核心竞争力。针对目前风电的基本特征与智能化水平现状,以异构计算为基础,采用弹性资源配置策略,从风电生产管理和信息系统两个维度对智慧风电的体系架构进行探索和研究;并通过分析关键技术阐述其开放性、学习性、成长性、异构性和友好性的基本特征,进一步解析了智慧风电系统具备精准感知、快速应对、系统思维和全面开放的不同智慧层级。
With the rapid development of artificial intelligence and other related technologies,domestic and foreign power generation enterprises are promoting smart power project to improve the core competitiveness.Aiming at the current the basic characteristics and intelligence level of wind power,based on heterogeneous computing and elastic resource configurations,this paper explores and studies the architecture of smart wind power from two dimensions of wind power production management and information system,and expounds its basic characteristics of openness,learning,growth,heterogeneity and friendliness by analyzing key technologies.Then we further analyze different levels of intelligence for the smart wind power system,such as accurate perception,rapid response,systematic thinking and comprehensive opening.
作者
吴智泉
王政霞
WU Zhiquan;WANG Zhengxia(China Datang Corporation Renewable Energy Science and Technology Research Institute Co.,Ltd.,Shijingshan District,Beijing 100040,China;Department of Information Science and Engineering,Chongqing Jiaotong University,Nan'an District,Chongqing 400074,China)
出处
《分布式能源》
2019年第2期8-15,共8页
Distributed Energy
关键词
智慧风电
体系架构
智能感知
弹性计算
资源配置
smart wind power
system architecture
intelligence sense
elastic computing
resource configurations
作者简介
吴智泉(1974—),男,博士,数量经济学博士后,高级工程师,主要从事能源战略与气候变化应对、能源开发与利用评价、能源规划、可再生能源技术、电力工程技术等方面的研究工作,wuzhiquan@cdt-reri.com;王政霞(1977—),女,博士,教授,主要从事智能计算、机器学习、图像处理、风电大数据方向的研究工作,zxiawang@163.com。
