基于相量测量单元的微电网状态实时估计

2019 International Conference on Power Electronics, Control and Automation (ICPECA) Pub Date : 2019-11-01 DOI:10.1109/ICPECA47973.2019.8975460

I. Ali, Mohd Huzaifa, Obaid Ullah, Mohd Asim Aftab, Md Zahid Anis

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引用次数: 5

摘要

电力系统状态估计用于估计电力系统的状态。通常，状态估计是一种离线的电力系统状态可视化方法。微电网是动态的网络，具有快速变化的场景。离线或静态状态的估计落后于微电网的实际状态。因此，本文提出了一种基于同步相量的微电网实时状态估计方法。由于PMU的高采样率，通过它测量的数据为微电网的在线可视化提供了手段。在实时数字仿真(RTDS)环境下，利用PMU实现了系统的实时状态估计。将该方法应用于一个改进的14总线测试微电网。将结果与静态估计进行比较，发现实时状态估计比离线状态估计能更准确地显示微网状态。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Real Time Microgrid State Estimation using Phasor Measurement Unit

Power System State Estimation is used to estimate the states of power system. Conventionally, state estimation is an offline method for visualization of power system states. Microgrid are dynamic networks with rapidly changing scenarios. The offline or static state estimates fall behind the actual states of microgrid. Thus, this paper proposes a real time state estimation for microgrids using synchrophasors. Due to high sampling rates of PMU, the data measured through it provide the means for online visualization of microgrid. The real time state estimation is implemented using PMU in Real Time Digital Simulator (RTDS) environment. The proposed method is applied on a modified 14 bus test microgrid. The results are compared with the static estimation and it has been found that the real time state estimation provide accurate visualization of microgrid states than offline state estimation.

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2019 International Conference on Power Electronics, Control and Automation (ICPECA)

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