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Probability estimation for the fault detection and isolation of pmu-based transmission line system of smart grid

机译:智能电网故障检测与隔离的概率估计

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Phasor measurement sensor plays an important role in finding the fault location in smart transmission line grid by sensing the voltage and current phasors of the sum of zero- and/or positive sequence entering the phasor measurement unit and communicate with the other PMU sensor installed at other buses in order to isolate the faulty transmission line. This work studies the accuracy and reliability of the information flow of the backup protection system in transmission line network. A method is proposed to find the fault detection and isolation probabilities of the transmission line of smart grid. We propose the development of Markovian model of the Western System Coordinating Council (WSCC-9) bus system with backup protection zone and formally verify the model via probabilistic model checker tool in order to analyse the system accuracy, efficiency and reliability by developing the logical properties. Furthermore, prediction of the success/failure isolation probabilities of transmission line is done. The probabilistic model checker (PRISM) is utilized for the estimation of all the success /failure probabilities and the verification of the WSCC-9 bus model via logical properties.
机译:Phasor测量传感器在通过感测进入相量测量单元的零和/或正序列之和的电压和电流相位并与安装在其他安装的其他PMU传感器通信的电压和电流相位,在找到智能传输线网格中的故障位置来发挥重要作用公共汽车是为了隔离故障传输线。这项工作研究了传输线路网络中备份保护系统信息流的准确性和可靠性。提出了一种方法来找到智能电网传输线的故障检测和隔离概率。我们提出了西部系统协调委员会(WSCC-9)总线系统的Markovian模型的发展,通过备份保护区,通过概率模型检查工具正式验证模型,以通过开发逻辑属性来分析系统准确性,效率和可靠性。此外,完成了传输线的成功/故障隔离概率的预测。概率模型检查器(PRISM)用于通过逻辑属性估计所有成功/故障概率和WSCC-9总线模型的验证。

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