黄龙达, 庄卫金, 龙苏岩, 庄晓丹, 黄文渊. 电力交易平台数据指标监视技术研究与应用[J]. 电网技术, 2021, 45(8): 3200-3206. DOI: 10.13335/j.1000-3673.pst.2021.0375
引用本文: 黄龙达, 庄卫金, 龙苏岩, 庄晓丹, 黄文渊. 电力交易平台数据指标监视技术研究与应用[J]. 电网技术, 2021, 45(8): 3200-3206. DOI: 10.13335/j.1000-3673.pst.2021.0375
HUANG Longda, ZHUANG Weijin, LONG Suyan, ZHUANG Xiaodan, HUANG Wenyuan. Research and Application of Data Monitoring Technologies on Electricity Trading Platform[J]. Power System Technology, 2021, 45(8): 3200-3206. DOI: 10.13335/j.1000-3673.pst.2021.0375
Citation: HUANG Longda, ZHUANG Weijin, LONG Suyan, ZHUANG Xiaodan, HUANG Wenyuan. Research and Application of Data Monitoring Technologies on Electricity Trading Platform[J]. Power System Technology, 2021, 45(8): 3200-3206. DOI: 10.13335/j.1000-3673.pst.2021.0375

电力交易平台数据指标监视技术研究与应用

Research and Application of Data Monitoring Technologies on Electricity Trading Platform

  • 摘要: 数据是构成电力交易平台的关键要素,数据指标实时监视对提升市场运营分析能力和平台稳定性都大有裨益。针对电力交易平台海量数据指标监视难的问题,提出了一套适应电力交易平台的数据指标监视方法。首先,在梳理电力交易平台各类数据基础上分析了数据指标特征;然后,从指标模型维度、指标元数据和指标公式计算3个方面阐述了交易平台的数据指标模型;最后,研究了数据指标监视总体架构以及数据指标采集、校验告警、采样和数据指标配置展示等关键技术。基于上述成果的研发软件已经部署运行,经实践验证,该技术有效支撑了电力交易平台数据指标的灵活监视。

     

    Abstract: Data is the key element on the electricity trading platform, and the real-time monitoring of the data indicators is helpful to improve the market operation analysis ability and the platform stability. Aiming at the massive data indicators on the electricity trading platform, a set of data indicator monitoring method of the electricity trading platform is proposed. Firstly, among all kinds of the data on the electricity trading platform, the characteristics of data indicators are analyzed; Secondly, the data indicator model on the electricity trading platform is elaborated from the aspects of the indicator model dimension, the indicator metadata and the indicator formula calculation; Finally, the overall framework of the data indicator monitoring and the key technologies of the data indicator collection, the verification alarm, the sampling and the data indicator configuration display are studied. The research and development software based on the results of this paper has been deployed and put into operation. The practice shows that the technology effectively supports the flexible monitoring of the data indicators on electricity trading platform.

     

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