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A distance protection based on the estimation of system model parameters

机译:基于系统模型参数估计的距离保护

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Most of the distance relays base their operation on the measured apparent fault impedance. These relays are bound to have an error inflicted by the unknown remote end parameters and fault resistance. This paper presents a method, which diminishes such errors using optimization techniques. The proposed method executes a system model unknown parameter estimation by adjusting model output to measurements from the same substation with the Monte Carlo method in sequence to pre-fault and fault regimes. This allows the elimination of uncertainty, caused by incomplete scope of information, available to classic relays. The proposed method was tested on a three machine system with a fault in one of parallel lines bounded by a mutual inductance and was proved to obtain fault parameters with an acceptable tolerance. The proposed method can be applied in a standalone application or it can provide reliable fault parameter data and improve the distance protection sensitivity.
机译:大多数距离继电器的操作都基于测得的视在故障阻抗。这些继电器必然会因未知的远端参数和故障电阻而引起错误。本文提出了一种使用优化技术来减少此类错误的方法。所提出的方法通过使用蒙特卡罗方法将模型输出调整为来自同一变电站的测量值,从而根据故障前和故障状态依次执行系统模型未知参数估计。这样可以消除传统继电器可用的信息范围不完全所引起的不确定性。该方法在三机系统上以互感为边界的平行线中的一个故障进行了测试,并被证明可获得具有可接受公差的故障参数。所提出的方法既可以应用于独立应用,也可以提供可靠的故障参数数据,提高距离保护的灵敏度。

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