一种智能电网数据可信度度量方法

Xiaorong Cheng, Tianqi Li
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引用次数: 2

摘要

分析了智能电网数据的可靠性要求,研究了电力系统中传统的数据测量和不良数据识别理论。在此基础上,本文创新性地研究了数据源之间的可信度、可信网络生成算法的构建以及基于数据源之间关系的分层动态可信网络模型。研究了数据源的可信度评价、数据源之间的可信度评价和数据的可信度评价。数据源之间的可信性受到数据源可信性的制约,数据源的可信性受到数据可信性和数据源之间可信性的制约,数据的可信性受到数据源之间可信性和数据源之间可信性的制约,它们相互关联,相互制约,构成一个整体。仿真结果表明,该模型能较好地满足智能电网数据可信度的要求,为未来研究提供解决可信度度量问题的思路是可行的。
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A credibility measurement method of smart grid data
The requirement of the credibility is analyzed for smart grid data and the traditional theories of data measurement and bad data identification are studied in power system. On the basis of that, this paper mainly studies the credibility between data sources, the construction of the trusted network generation algorithm, and the hierarchical and dynamic trusted network model innovatively which is based on the relationship between data sources. The credibility evaluation of data sources, the credibility evaluation between data sources and the credibility evaluation of data are studied. The credibility between data sources is restricted by the credibility of data sources, the credibility of data sources is restricted both from the credibility of data and the credibility between data sources, the credibility of data is restricted by the credibility between data sources and the credibility of data sources, they are interrelated and restricted by each other and constitute to a whole. The simulation results show that the model can satisfy the requirement of the credibility of smart grid data better, and provide the ideas to solve the problem of the credibility measure for prospective research is feasible.
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