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电力大数据:2019,22(9):-
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融合经济大数据的输电线路可视化模型研究
董小兵
(国网陕西省电力公司经济技术研究院)
Research on visualization model of transmission line status integrating economic big data
dongxiaobing
(1)
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投稿时间:2019-04-15    修订日期:2019-06-17
中文摘要: 为平衡电力资源的输送并发挥出电网调配电能的优势,对电网特征的全貌分析尤为关键。而目前电力大数据在运检维修等面向用户的研究居多,但面向设备特性的输电线路分析的研究上存在空白,而输电线路设备的状态又与用户、经济和环境等外部数据有着密切的联系。为此,本文综合考虑了输电线路设备内、外部影响因素,提出了一种结合了外部因素的输电线路画像模型构建的理论框架并得到了相应的画像模型,通过相关性分析确定了各因素与线路状态的影响程度并构建相关性矩阵,并利用多元因素分析法建立了相应的回归模型,最后通过画像分析技术将其相关性分析的结果进行具象化,形成可视化的输电线路设备画像,为电网规划、运维管理和决策服务提供可靠高效的数据支撑和分析依据。
Abstract:In order to balance the transmission of power resources and give full play to the advantages of power grid deployment, the overall analysis of power grid characteristics is particularly critical. At present, Most of the researches on power big data are user-oriented, such as operation, inspection and maintenance. There is a gap in the research of transmission line analysis for equipment characteristics. However, the state of transmission line equipment is closely related to external data such as users, economy and environment. Therefore, this paper considers both internal and external factors of transmission line equipment, a theoretical framework of transmission line portrait model with external factors is proposed and the corresponding portrait model is obtained, The influence degree of each factor and circuit state is determined by correlation analysis and correlation matrix is constructed, the regression model is established by multivariate factor analysis, finally, the results of its correlation analysis are reified through portrait analysis technology, forming a visual power transmission line equipment portrait. It provides reliable and efficient data support and analysis basis for power grid planning, operation and maintenance management and decision-making services.
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