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Power network state estimation algorithms and their use with synchrophasors

机译:电网状态估计算法及其在同步相量中的使用

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This article studies an algorithm for state estimation in electric power networks, adding information from phasor measurement units (PMU) to the classical SCADA data. This work describes the implementation in MatLab of one of the algorithms found in the literature and the migration of the code to C++ in order to test its time performance. The algorithm was tested on the 39 bus IEEE case study. A good tracking of the waveforms was achieved even in cases of three phase short-circuits or drastic load changes. Execution times obtained in C++ in regular desk computers where short enough to predict a suitable real time performance.
机译:本文研究了一种用于电力网络状态估计的算法,将相量测量单元(PMU)的信息添加到经典SCADA数据中。这项工作描述了MatLab中文献中找到的一种算法的实现,以及将代码迁移到C ++以测试其时间性能。该算法在39总线IEEE案例研究中进行了测试。即使在三相短路或剧烈变化的情况下,也可以很好地跟踪波形。在常规台式计算机中用C ++获得的执行时间,该时间短到足以预测合适的实时性能。

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