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Transmission Line Evaluation of Smart Grid Based on Big Data Mining

机译：基于大数据挖掘的智能电网传输线评估

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摘要

Large data mining is very important in the application of power system since the data of power system is rather redundant. In this paper, an evaluation method of power system transmission line parameters based on the micro-meteorological environment is proposed. Cloud computing processing technology is utilized for constructing the on-line dynamic parameter evaluation system, so that the real-time data collected by power system measurement devices and the environment data of the micro-meteorological monitoring system can be identified, evaluated and corrected. This system is calculated theoretically and verified on real web, the results show that the micro-meteorological parameter evaluation system can evaluate the mutation parameters of transmission lines in real time and provide a new opportunity for the security analysis and stability control of large power systems.
机译：由于电力系统的数据相当多冗，大数据挖掘在电力系统的应用中非常重要。本文提出了一种基于微观气象环境的电力系统传输线参数的评估方法。云计算处理技术用于构建在线动态参数评估系统，从而可以识别通过电力系统测量装置收集的实时数据和微气象监测系统的环境数据，评估和校正。该系统在理论上计算并在真实网络上验证，结果表明，微气象学参数评估系统可以实时评估输电线路的突变参数，并为大型电力系统的安全分析和稳定性控制提供新的机会。

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