Prediction of transient stability status using Walsh-Hadamard transform and support vector machine

E. Frimpong, P. Okyere, J. Asumadu
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引用次数: 8

Abstract

A novel scheme is presented for real-time prediction of rotor angle stability status. The scheme is activated following a large disturbance and operates by obtaining a set of two rotor angles for each generator. Each set of two rotor angles sampled is decomposed using the fast Walsh-Hadamard transform resulting in two Walsh coefficients. The absolute value of each coefficient is obtained and the maximum of the two is selected. The selected absolute maximum values, one for each generator, are then summed and fed into a trained support vector machine which predicts the stability status. The scheme was tested using the IEEE 39-bus system. The prediction accuracy of the scheme proved to be 100%.
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基于Walsh-Hadamard变换和支持向量机的暂态稳定状态预测
提出了一种转子角稳定状态实时预测的新方案。该方案在大扰动后启动,并通过获取每台发电机的一组两个转子角度来运行。采用快速Walsh- hadamard变换对每组采样的两个转子角度进行分解,得到两个Walsh系数。得到每个系数的绝对值,并选择两者的最大值。选择的绝对最大值,每个发电机一个,然后被求和并输入一个训练好的支持向量机,该支持向量机预测稳定状态。采用IEEE 39总线系统对该方案进行了测试。结果表明,该方案的预测精度为100%。
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