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Online aggregation of coherent generators based on electrical parameters of synchronous generators

机译:基于同步发电机电参数的相干发电机在线聚集

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This paper proposes a novel approach for coherent generators online clustering in a large power system following a wide area disturbance. An interconnected power system may become unstable due to severe contingency when it is operated close to the stability boundaries. Hence, the bulk power system controlled islanding is the last resort to prevent catastrophic cascading outages and wide area blackout. Meanwhile, the aggregation of the coherent generators is the most important step in large power grids intentional defensive splitting to guarantee the dynamic stability of the created islands and reduce the computational burden of the huge initial search space. The proposed method of this paper determines the coherent machines based on the electrical parameters of the synchronous generators instead of the dynamical parameters such as rotor angle or speed curves, speed participation factors, etc. The stator and excitation windings flux, excitation voltage and current have been proposed as coherency indices. The proposed coherency based aggregation has been carried out on New England 39-bus test system. The time-domain simulation results demonstrate the effectiveness and capability of the proposed method to identify the coherent machines following a severe contingency.
机译:本文提出了一种新的方法,用于在广域干扰之后的大型电力系统中相干发电机在线聚类。当互连电源系统在接近稳定边界的地方运行时,由于严重的意外事故,可能会变得不稳定。因此,大容量电力系统控制的孤岛是防止灾难性的级联中断和广域停电的最后手段。同时,相干发生器的聚集是大电网有意防御分裂中最重要的步骤,以保证所创建岛的动态稳定性并减轻巨大的初始搜索空间的计算负担。本文提出的方法基于同步发电机的电气参数而不是诸如转子角或速度曲线,速度参与因子等动力学参数来确定相干机。定子和励磁绕组的通量,励磁电压和电流具有被提议为一致性指标。提议的基于一致性的聚合已在新英格兰39总线测试系统上进行。时域仿真结果证明了该方法在严重偶然性之后识别相干机器的有效性和能力。

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