安装PMU以提高状态估计的准确性

Muhamad Hazrirrahman Wakti, S. P. Hadi, L. M. Putranto
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摘要

状态估计提供状态信息,随后用于监控和数据采集(SCADA)应用功能,包括负荷预测,最优潮流,自动发电控制和安全分析。因此,需要注意状态估计的准确性。然而,目前大多数电力系统的状态估计都是通过常规测量来提供的。传统的状态估计方法在精度上存在一定的局限性。传统的SCADA测量存在测量量误差、测量异步、采样率低等缺点。这些误差可以通过在电力系统中安装几个同步pmu来弥补。在本文中,电力系统已有116个现有的常规测量。所以系统状态是可观察的。通过30秒内负载波动的动态模拟,揭示了传统测量方法的缺点,并且这些测量方法是异步时间戳的。结果表明,仿真系统的平均绝对误差在10% ~ 12%之间。然后通过在总线(1,10,12,28)中添加几个pmu。仿真系统的MAE降低了0.004% ~ 0.05%。
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PMU Installation to Increase The Accuracy of State Estimation
State estimation provides state information that subsequently is used in the supervisory control and data acquisition (SCADA) application function including load forecasting, optimal power flow, automatic generation control and security analysis. So, it is necessary to pay attention in the accuracy of state estimation. However, today most of power system state estimation is provided by conventional measurement. State estimation by conventional measurement has limitation in terms of accuracy. The limitation due to errors in measuring the measurements quantities, asynchronous measurements, and low in sampling rate of conventional SCADA measurements. Those error can be covered by installing several synchronous PMUs in the power system. In this paper, the power system already had 116 existing conventional measurements. So, that the system state is observable. The disadvantages of conventional measurements is demonstrated by dynamic phenomena of load fluctuation during 30 seconds simulation, and those measurements are asynchronous time stamp. The result shows mean absolute error (MAE) of the simulated system is between 10% to 12%. Then by adding several PMUs in buses (1,10,12,28). The MAE of the simulated system decreased is between 0.004% to 0.05%.
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