首页> 外文期刊>Journal of Circuits, Systems, and Computers >CONTROL OF SHUNT REACTOR OVERVOLTAGES BY CONTROLLED SWITCHING DURING POWER SYSTEM RESTORATION
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CONTROL OF SHUNT REACTOR OVERVOLTAGES BY CONTROLLED SWITCHING DURING POWER SYSTEM RESTORATION

机译:电力系统恢复期间通过控制开关控制休克电抗器过大

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摘要

The shunt reactors located on both line terminals and substation bus-bars are commonly used on long extra high voltage (EHV) transmission systems for controlling voltage during load variations. In a small power system that appears in an early stage of a black start of a power system, an overvoltage could be caused by core saturation on the energization of a shunt reactor with residual flux. The most effective method for the limitation of the switching overvoltages is controlled switching since the magnitudes of the produced transients are strongly dependent on the closing instants of the switch. A harmonic index has been introduced that it's minimum value is corresponding to the best-case switching time. In addition, in this paper an artificial neural network (ANN) is used to estimate the optimum switching instants for real time applications. ANN is trained with equivalent circuit parameters of the network, so that developed ANN is applicable to every studied system. To verify the effectiveness of the proposed index and accuracy of the ANN-based approach, two case studies are presented and demonstrated.
机译:位于线路终端和变电站母线上的并联电抗器通常用于超长超高压(EHV)传输系统中,以在负载变化期间控制电压。在出现在电力系统黑启动的早期的小型电力系统中,过剩的分流电抗器通电时,铁心饱和可能会导致过电压。限制开关过电压的最有效方法是控制开关,因为所产生的瞬变的幅度很大程度上取决于开关的闭合瞬间。引入了谐波指数,该指数的最小值与最佳情况下的开关时间相对应。另外,在本文中,人工神经网络(ANN)用于估计实时应用的最佳开关瞬间。用网络的等效电路参数训练ANN,以便开发的ANN适用于每个研究的系统。为了验证所提出的索引的有效性和基于ANN的方法的准确性,提出并演示了两个案例研究。

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