1.国家电网有限公司国家电力调度控制中心,北京市 100031;2.南瑞集团有限公司(国网电力科学研究院有限公司),江苏省南京市 211106
为了实现大电网中具有复杂时空关系、多源异构数据的可视化展示,提出了适用于调控云的电网可视化架构设计,采用电网图、厂站图、一次设备图、二次设备图4层视图架构,分别从全景可视化、全态可视化和全息可视化3个方面详细阐述了可视化电网的实现,以不同可视化形式呈现从设备个体到电网全景的场面、从历史到未来全生命周期的状态、从要素到主题的全面信息,从而实现全景、全态、全息展示电力系统特征、运行轨迹和实时信息。在此基础上,研究了实现可视化电网的关键技术,基于电气关系和对象化模型的关联关系,自动构建可视化关联图谱,从场景、时态及信息各层面,全面展示电网的构成及运行,从而实现对电网实时运行、运行效率分析、设备故障和设备检修分析等应用场景的支撑。
国家电网公司总部科技项目(电网运行数据预测、挖掘与分析,5442DZ200038)。
蔡 宇(1989—),女,通信作者,博士,高级工程师,主要研究方向:电力系统调度自动化、电力市场、大数据等。E-mail:cai-yu@sgcc.com.cn
许洪强(1964—),男,教授级高级工程师,主要研究方向:电力系统调度自动化。E-mail:xu-hongqiang@sgcc.com.cn
刘金波(1975—),男,教授级高级工程师,主要研究方向:电力系统调度自动化、云计算、大数据等。E-mail: liu-jinbo@sgcc.com.cn
1.National Electric Power Dispatching and Control Center, State Grid Corporation of China, Beijing 100031, China;2.NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China
In order to visualize the complex spatio-temporal relationships and multi-source heterogeneous data in large power grids, a visualized architecture of power grid for the dispatching and control cloud is proposed. For the visualization of the full-scene varying from specific equipment to grid overview, the full-state of life cycle from history to the future and the full-information including both elements and topics, a four-layer framework is adopted, which is composed of the grid diagram, station diagram, primary equipment diagram, and secondary equipment diagram. This complex architecture allows the illustrations of full-scene grid, full-state grid and full-information grid, including the power system characteristics, operation trajectories and real-time information to become thoroughly descriptive in the areas of full-scene grid, full-state grid and full-information grid. On this basis, the key technologies to realize the visual power grid are studied. Based on the correlation relationship between electrical relationship and object-oriented model, the visualized correlation map is automatically constructed to comprehensively display the composition and operation of the power grid from multiple levels of scene, state and information, so as to support major applications including real-time operation, operation efficiency analysis, equipment failure analysis, and equipment examination analysis, etc.
[1] | 蔡宇,许洪强,刘金波,等.面向调控云的可视化电网设计及应用[J].电力系统自动化,2022,46(7):122-130. DOI:10.7500/AEPS20201113003. CAI Yu, XU Hongqiang, LIU Jinbo, et al. Design and Application of Visualized Power Grid for Dispatching and Control Cloud[J]. Automation of Electric Power Systems, 2022, 46(7):122-130. DOI:10.7500/AEPS20201113003. |