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

机译:基于pmu的智能电网输电线路系统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:相量测量传感器通过感测进入相量测量单元的零序和/或正序之和的电压和电流相量并与安装在另一方的另一个PMU传感器通信,在智能传输线电网中查找故障位置中起着重要作用。总线以隔离故障的传输线。这项工作研究了传输线网络中后备保护系统信息流的准确性和可靠性。提出了一种寻找智能电网输电线路故障检测和隔离概率的方法。我们建议开发带有备用保护区的西方系统协调委员会(WSCC-9)总线系统的马尔可夫模型,并通过概率模型检查器工具对模型进行正式验证,以便通过开发逻辑属性来分析系统的准确性,效率和可靠性。 。此外,完成了传输线成功/失败隔离概率的预测。概率模型检查器(PRISM)用于估计所有成功/失败概率以及通过逻辑属性验证WSCC-9总线模型。

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