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Enhanced measurement-based dynamic equivalence using coherency identification

机译:使用一致性识别增强基于测量的动态等效性

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Power system dynamic simulation demands substantial computation due to extensive interconnection among power systems. Traditionally, the computational burden has been reduced by using dynamic equivalent methodologies, such as modal, coherency and measurement-based. Measurement-based method replaces an external system with a simple equivalent and estimates its parameters through optimization method with measurement. However, the conventional method does not clearly present the model structure for the external equivalent. This ambiguity, then, may lead to poor performance of the equivalent. The proposed method uses generator equivalent model and shows how to choose a proper number of generators for the equivalent model structure using coherency concept. The approach preserves relevant modes from the external and thus enhances the simulation performance of the dynamic equivalent. Test results of a simple power system are presented and show a high level of accuracy of the proposed method.
机译:电力系统动态仿真由于电力系统中的广泛互连,需要大量计算。 传统上,通过使用动态等效方法(例如基于模态,一致性和测量),减少了计算负担。 基于测量的方法通过测量的优化方法取代了简单等效的外部系统,并通过优化方法估计其参数。 然而,传统方法没有清楚地呈现外部等效的模型结构。 那么,这种模糊可能导致相当于的性能差。 该方法使用生成器等效模型,并显示如何使用一致性概念选择用于等效模型结构的适当数量的生成器。 该方法从外部保留相关模式,从而提高了动态等效的模拟性能。 提出了一种简单的电力系统的测试结果,并显示了所提出的方法的高精度。

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