智能电网能量流的时空多尺度大数据探讨

摘要

With the rapid development of power business and the continuous perfection of big data technologies,the age of big data in power system is drawing near.Nevertheless,current electric power data is not able to meet the demand of smart grid on safety and stability analysis,where comprehensive information reflecting power flow observability is needed.To solve this problem, the big data with time-space multi-scale was analyzed for smart-grid power flow in this paper,it was nanosecond and broadband data obtained by wide-area real-time broadband time-space multi-scale synchronous measurement,and it was capable of precisely reflecting the power flow charac-teristics of power grids.The data can provide comprehensive information for smart grid research with higher accuracy,and which is helpful for solving the complex problems of power grid dy-namic security and stability supervision,dimension reduction and decoupling of complex and huge power grids.The proposed data has great theoretical value and extensive application prospect.%随着电力业务的飞速发展和大数据应用技术的不断完善，电力大数据时代正式到来。然而现有电力数据尚无法满足智能电网的安全稳定等发展需求，智能电网需要能够反映电力能量流可观性的立体全景信息。为此，分析智能电网能量流时空多尺度大数据的概念，通过广域电网实时宽频带时空多尺度同步测量技术，可准确、可靠获取电网能量流全景数据，该纳秒级宽频数据能精确反映电力能量流特征。能量流时空多尺度大数据可为智能电网科学研究提供更准确的全景数据信息，有助于解决电网动态安全稳定监控、复杂大电网建模降维与解耦、电网能量传递分析和暂态保护控制等电力系统科学技术难题，具有重要的理论价值和工程应用前景。