gps同步数据采集:技术评估与研究问题

A. Meliopoulos, G. Cokkinides, F. Galvan, B. Fardanesh
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引用次数: 33

摘要

与典型的SCADA系统相比,gps同步设备(pmu)通常具有更高的精度。从概念上讲,PMU数据的时间标记精度优于1微秒,幅度精度优于0.1%。由于仪表通道和系统不平衡的误差,在实际的现场安装中无法实现这种潜在的性能。目前,变电站安装设备的PMU数据精度实际上是未知的。另一方面,PMU数据的特定应用需要特定的数据精度。应用范围从简单的系统监测到广域保护和控制,再到电压不稳定预测。每种应用可能有不同的精度要求。例如,对于稳定状态下的简单系统监测,高精度的数据可能不是关键,而对于瞬态不稳定预测,高精度可能是关键。为了满足各种应用的数据精度要求,有必要量化所收集PMU数据的准确性。我们讨论了各种应用程序的数据精度要求,并提出了一种表征数据误差的方法。特别地,我们提出了一种通过估计方法来提高数据精度的新方法。所提出的方法量化了过滤数据的预期误差。提供了定义特定应用程序的仪器需求的示例。
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GPS-Synchronized Data Acquisition: Technology Assessment and Research Issues
GPS-synchronized equipment (PMUs) is in general higher precision equipment as compared to typical SCADA systems. Conceptually, PMU data are time tagged with accuracy of better than 1 microsecond and magnitude accuracy that is better than 0.1%. This potential performance is not achieved in an actual field installation due to errors from instrumentation channels and system imbalances. Presently, PMU data precision from substation installed devices is practically unknown. On the other hand, specific applications of PMU data require specific accuracy of data. Applications vary from simple system monitoring to wide area protection and control to voltage instability prediction. Each application may have different accuracy requirements. For example for simple system monitoring in steady state highly accurate data may not be critical while for transient instability prediction high precision may be critical. For addressing data precision requirements for a variety of applications, it is necessary to quantify the accuracy of the collected PMU data. We discuss data precision requirements for a variety of applications and we propose a methodology for characterizing data errors. In particular, we propose a new approach for improving data accuracy via estimation methods. The proposed methodology quantifies the expected error of the filtered data. Examples are provided that define the instrumentation requirements for specific applications.
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