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PMU placement to reduce state estimation bias considering parameters uncertainty

机译:考虑参数不确定性的PMU放置可减少状态估计偏差

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In this paper, a novel analysis is performed to determine the bias of Weighted Least Squares (WLS) power system state estimator to find out how much different placements of Phasor Measurement Unit (PMU) will affect the state estimator's bias behavior whereas the network parameters are subjected to different quantities of uncertainties for a given measurement uncertainty. The lack of unbiasedness is an important defect of state estimators hence, for each network parameters uncertainty the bias of state estimator is computed. To determine how much the state estimator is biased, using the classical hypothesis test approach a threshold is assigned. The analysis is simulated on IEEE 14-Bus power network test case. To have an idea about the visualization of bias test concept, the bias of voltage magnitude and phase angle errors versus the parameters uncertainty are shown for a PMU placement. Then, for different PMU placements, the values of parameters uncertainty that the state estimator is less biased are shown. The novelty of this analysis is that it finds the location of PMUs to have the state estimator less biased, considering different network parameters uncertainties.
机译:在本文中,进行了一种新颖的分析,以确定加权最小二乘(WLS)电力系统状态估计器的偏差,以找出相量测量单元(PMU)的不同放置位置会影响状态估计器的偏差行为,而网络参数是对于给定的测量不确定度,要承受不同数量的不确定度。缺乏无偏性是状态估计器的重要缺陷,因此,对于每个网络参数不确定性,都会计算状态估计器的偏差。为了确定状态估计量有多少偏差,使用经典的假设检验方法分配了阈值。该分析是在IEEE 14总线电源网络测试用例上模拟的。为了对偏置测试概念的可视化有所了解,显示了PMU放置的电压幅度和相角误差的偏置与参数不确定性的关系。然后,对于不同的PMU放置,显示了状态估计量偏差较小的参数不确定性值。这种分析的新颖之处在于,考虑到不同的网络参数不确定性,它可以找到PMU的位置,从而使状态估计器的偏差较小。

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