智能电网海量信息数据检测关键技术分析  被引量:8

Analysis of Key Technologies for Massive Information Data Detection in Smart Grid

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作  者:张洁敏 方志坚 倪文书 ZHANG Jiemin;FANG Zhijian;NI Wenshu(Information&Communication Branch,Fujian Electric Power Company Limited,Fuzhou 350001,China)

机构地区:[1]国网福建省电力有限公司信息通信分公司,福建福州350001

出  处:《微型电脑应用》2021年第1期170-173,共4页Microcomputer Applications

摘  要:为满足智能电网对海量信息数据的检测需求,对基于调控云的智能电网海量数据检测的关键技术进行了研究,电网海量信息数据的检测基于对流通和传输的电网数据的分析结果。针对智能电网数据节点的电压和电流间的关系通过潮流计算方法的使用完成分析过程(以电网的导纳和阻抗为依据),电流与功率则根据电网的有功及无功注入完成计算,进而得到海量数据的非线性方程,在此基础上完成检测数学模型的建立。以期为电网数据的研究提供参考。In order to meet the demand of massive information data detection in smart grid,this paper mainly studies the key technologies of massive data detection based on cloud-based smart grid.The detection of massive information data of power grid is based on the analysis results of grid data for circulation and transmission.The relationship between the voltage and current of the smart grid data node is completed by the use of the power flow calculation method(based on the admittance and impedance of the power grid),and the current and power are calculated according to the active and reactive power injection of the power grid.The nonlinear equation of massive data is used to complete the establishment of the detection mathematical model.It may provide reference for the study of grid data.

关 键 词:智能电网 海量信息数据 检测技术 

分 类 号:TM76[电气工程—电力系统及自动化]

 

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