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Advanced Multi-Receiver Position-Information-Aided Vector Tracking for Robust GPS Time Transfer to PMUs

机译:高级多接收机位置 - 信息辅助向量跟踪,用于强大的GPS时间转移到PMU

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Phasor Measurement Units (PMUs) provide timesynchronized, accurate and precise measurements of instantaneous voltages and currents at many locations across the electrical power system. The current state-of-the-art time transfer architecture for PMUs uses GPS time synchronization. The dependence on GPS for time synchronization introduces new vulnerabilities to a power system utilizing PMUs. Thus, in our prior work, we proposed and verified with experimental data the concept of using multi-receiver position-informationaided vector tracking (MRPIAVT) to provide accurate, robust and reliable GPS time transfer for PMUs [1]. The MRPIAVT architecture is improved upon in this paper, leading to Advanced MRPIAVT. Improvements include modification of the state estimation equations such that the state vector contains only the clock bias and clock drift states. Updated clock dependent process noise covariance matrix used in the Extended Kalman Filter (EKF). Increased pre-detection coherent integration timing. Hardware timing synchronization, additional sub-sample software timing synchronization and an increased sampling rate. We demonstrate with further experiments, the enhanced performance of Advanced MRPIAVT with respect to timing accuracy, jamming, multipath and datalevel spoofing.
机译:相量测量单元(PMU)在电力系统上的许多位置提供瞬时电压和电流的瞬时电压和电流。用于PMU的当前最先进的时间转移架构使用GPS时间同步。对时间同步的GPS对GPS的依赖性将新的漏洞引入了利用PMU的电力系统。因此,在我们之前的工作中,我们提出并验证了使用多接收器位置信息示看矢量跟踪(MRPIAVT)的概念来提供用于PMU的准确,坚固且可靠的GPS时间转移[1]。本文提高了MRPIAVT架构,导致先进的MRPIAVT。改进包括改进状态估计方程,使得状态向量仅包含时钟偏置和时钟漂移状态。更新了扩展卡尔曼滤波器(EKF)中使用的时钟依赖过程噪声协方差矩阵。增加预检测连贯积分定时。硬件定时同步,额外的子样本软件时序同步和增加的采样率。我们展示了进一步的实验,提高了先进的MRPIAVT对时序精度,干扰,多路径和DataLevel欺骗的性能。

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