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Online synchronous generator out-of-step prediction by electrical power curve fitting

机译:在线同步发电机通过电动电源曲线配件远程预测

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摘要

In this study, by using generator electrical output power and rotor speed, a new algorithm for out-of-step prediction is proposed. In this online method, after fault clearance, the trend of generator output power will be predicted using sinusoidal variable frequency function curve fitting. Finally, time-domain equal area criterion (TDEAC) is used to evaluate the transient stability. The mathematical proofing of TDEAC and its validity in large-scale systems are presented too. Real-time prediction, fast calculation, using only local parameters and estimation of the remaining time until instability are some of the proposed method's advantages. The performance of this algorithm is examined on IEEE 39-bus New England and Iran electrical power network systems. The results show that the proposed method represents a valuable alternative for out-of-step protection possessing fast and high-efficiency performance. The simulations are carried out using the Power Factory(R) software and the proposed algorithm has been developed in MATLAB.
机译:在本研究中,通过使用发电机电输出功率和转子速度,提出了一种新的阶梯预测算法。在该在线方法中,在故障间隙之后,使用正弦变频函数曲线配件预测发电机输出功率的趋势。最后,时间域等区域标准(TDEAC)用于评估瞬态稳定性。 TDEAC的数学校正及其在大型系统中的有效性也是如此。实时预测,快速计算,仅使用局部参数和剩余时间的估计,直到不稳定性是所提出的方法的一些优势。在IEEE 39总线新英格兰和伊朗电力网络系统上检查了该算法的性能。结果表明,该方法代表了具有快速和高效性能的远程保护的有价值的替代方案。使用电源厂(R)软件进行模拟,并在MATLAB中开发了所提出的算法。

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