数据驱动下的智能发电系统应用架构及关键技术  

Data-driven-based Application Architecture and Technologies of Smart Power Generation

作　　者：刘吉臻[1] 王庆华 房方[1] 牛玉广[1] 曾德良[1] LIU Jizhen;WANG Qinghua;FANG Fang;NIU Yuguang;ZENG Deliang(School of Control and Computer Engineering, North China Electric Power University, Changping District, Beijing 102206, China)

机构地区：[1]华北电力大学控制与计算机工程学院

出　　处：《中国电机工程学报》2019年第12期3578-3586,共9页Proceedings of the CSEE

基　　金：国家重点研发计划项目(2017YFB0602105);北京市科技计划项目(Z181100005118005)~~

摘　　要：面对能源短缺、环境污染、气候变化等人类共同的难题,安全高效、清洁低碳、灵活智能已成为能源电力转型发展的大趋势,而以数据深度利用为特征的智能化技术将是未来电力发展的核心领域。该文在前期研究的基础上,对智能发电系统的概念、体系架构进行了进一步阐述,从数据应用的角度阐明了智能发电的五大数据化特征:泛在感知(数据获取)、信息融合(数据交互)、智能算法(数据监控)、智能管控(数据决策)、全生命周期管理(数据归档)。提出包括智能发电运行控制系统(intelligent control system,ICS)和智能发电公共服务系统(intelligent service system,ISS)的智能发电系统数据应用架构,在此基础上,给出了与2个系统相对应的数据应用功能。To relief the globally severe situation on energy shortage, environmental pollution and climate change, the main trend in energy and power arena is to achieve safe, efficient,clean, low carbon, flexible and intelligent. The intelligent technology characterized by data depth utilization will be the core area of future electric power development. In this paper,the concept and the system structure of smart power generation system were further elaborated. Firstly, from the point and view of data application, five data characteristics of smart power generation were proposed. It should be capable of ubiquitous perception(data acquisition), information fusion(data interaction), intelligent algorithm(data monitor), intelligent management and control(data decision), and full life cycle management(data archiving). Secondly, the data application architecture of smart power generation control system was proposed, which includes intelligent control system(ICS) and intelligent service system(ISS). Finally, the corresponding data application functions of two systems were presented.

关 键 词：智能发电 数据驱动 物理架构 数据应用架构 运行控制系统 公共服务系统 

分 类 号：TM62.TP27[电气工程—电力系统及自动化]