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

Syed Atif Naseem, Raheleh Eslampanah, R. Uddin
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引用次数: 4

Abstract

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.
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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
相量测量传感器通过感知进入相量测量单元的零、正序和的电压、电流相量,与安装在其他母线上的其他PMU传感器通信,以隔离故障的传输线,在智能输电线路电网中起着查找故障位置的重要作用。本文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。提出了一种求解智能电网输电线路故障检测和隔离概率的方法。本文提出了西部系统协调委员会(WSCC-9)带后备保护区母线系统的马尔可夫模型,并利用概率模型检查工具对该模型进行了形式化验证,目的是通过开发系统的逻辑特性来分析系统的准确性、效率和可靠性。此外,还对输电线路的成功/失败隔离概率进行了预测。概率模型检查器(PRISM)用于估计所有成功/失败概率,并通过逻辑属性验证WSCC-9总线模型。
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