基于估计最小频率和功率亏缺的改进UFLS方案

Hassan Haes Alhelou, M. Golshan, R. Zamani, M. P. Moghaddam, Takawira Cuthbert Njenda, P. Siano, M. Marzband
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引用次数: 26

摘要

在发生电力系统扰动的情况下,基于最小频率和扰动的大小来决定是否实施低频减载是很重要的。在本文中,我们提出使用高阶多项式曲线拟合来估计最小频率。如果预测显示最小频率阈值将被打破,则使用摆幅方程估计总扰动的大小。此外,还可以直接计算恢复到刚好高于最小值的频率所需的最小负荷。对台湾电力系统进行了仿真,结果证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved UFLS Scheme based on Estimated Minimum Frequency and Power Deficit
In the event of a power system disturbance, it is important that the decision to implement under frequency load shedding is based on both the minimum frequency and the magnitude of the disturbance. In this paper, we propose the use of higher order polynomial curve fitting to estimate the minimum frequency. If the prediction shows that the minimum frequency threshold will be violated, the magnitude of the total disturbance is estimated using the swing equation. In addition, the minimum amount of load that must be shed to restore the frequency just above the minimum value can also be directly calculated. Simulations are carried out for the considered Taiwan power system and the results prove the efficiency of the proposed technique.
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