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Design and Application of Big Data Platform Architecture for Typical Scenarios of Power System

机译:电力系统典型场景的大数据平台架构设计与应用

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Power systems generate huge data from its operation center, information system and other related equipment, such as EMS, SCADA, GIS, PMU, AMI, external systems, etc. These data possess various characteristics of large volume, high velocity and strong mutual action. New tools and technologies which seek to manage, dig value and visualize of these data are widely used in the power system. By combining the advantages of mainstream big data ecosystem, this paper proposes a new big data platform for the power system. The proposed big data platform includes the data integration layer, the data storage layer, the data processing layer and the data visualization layer. To demonstrate the effectiveness of the proposed big data architecture, a case study which is a salt and non-soluble deposit densities big data application platform of the power system is designed. The results verify the effectiveness of the designed big data platform.
机译:电力系统从其运营中心,信息系统和其他相关设备(例如EMS,SCADA,GIS,PMU,AMI,外部系统等)生成大量数据。这些数据具有大容量,高速度和强大的交互作用的各种特征。寻求对这些数据进行管理,挖掘价值和可视化的新工具和技术已在电力系统中广泛使用。结合主流大数据生态系统的优势,为电力系统提出了一个新的大数据平台。拟议的大数据平台包括数据集成层,数据存储层,数据处理层和数据可视化层。为了证明所提出的大数据体系结构的有效性,设计了一个案例研究,该案例是电力系统的盐分和非可溶性沉积物密度大数据应用平台。结果验证了设计的大数据平台的有效性。

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