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A method of adjusting measurements of external grid based on Predictor-Corrector algorithm

机译:基于Predictor-Corrector算法的外部网格测量调整方法

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In practice, SCADA system of each control center samples to complete periodic state estimation calculation. But each control center's data acquisition time is inconsistent. Measurement sections provided by different subsystems have time difference, during the integrated calculation and analysis of whole grid. The time difference of measurements acquisition among control centers brings estimation error of external grid affecting accuracy of state estimation. To address this problem, this paper proposes a Predictor — Corrector algorithm. The algorithm uses the feather that the same measuring point in overlap region owns different values to predict the measurement acquisition time difference between the subsystems which starts the distributed calculation and other subsystems. Then corrects the measurements of external grid based on predicted time difference and the measurements changing curves of external grid to ensure all measurements are in the same time. This paper uses the data of Mengxi Power Grid to validate the algorithm.
机译:在实践中,每个控制中心的SCADA系统采样以完成周期性状态估计计算。但是每个控制中心的数据采集时间是不一致的。在整个网格的集成计算和分析过程中,不同子系统提供的测量部分存在时差。控制中心之间的测量采集时间差带来了外部电网的估计误差,从而影响状态估计的准确性。为了解决这个问题,本文提出了一种Predictor-Corrector算法。该算法使用重叠区域中的相同测量点拥有不同值的特征来预测开始分布式计算的子系统与其他子系统之间的测量采集时间差。然后根据预测的时间差和外部网格的测量变化曲线校正外部网格的测量,以确保所有测量都在同一时间进行。本文利用蒙西电网的数据对该算法进行了验证。

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