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Scalability of the Vector Quantization Approach for Fast QSTS Simulation

机译:快速QSTS仿真的矢量量化方法的可扩展性

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Quasi -static time -series (QSTS) provides the necessary simulation fidelity on the impact that new energy resources would have on a specific distribution system feeder. However, this simulation can often take 10-120 hours for a single study, on traditional computers. The vector quantization approach proposed in [1] demonstrated very attractive computational time reduction for feeders with li mited number of input time -series profiles and few distribution system voltage control elements. In this work, we expend on this algorithm and address this issue to model feeders of any complexity while maintaining a high computational time reduction. We demonstrate a 98.7% reduction on a real distribution system feeder with 2969 -bus, 3 load/PV profiles, and 8 voltage regulating elements.
机译:准静态时间序列(QSTS)对新能源对特定配电系统馈线的影响提供了必要的仿真保真度。但是,在传统计算机上进行单个研究时,此模拟通常需要10-120小时。在[1]中提出的矢量量化方法证明了对于馈线的有限的输入时间序列分布和很少的配电系统电压控制元件的计算时间减少非常有吸引力。在这项工作中,我们扩展了该算法并解决了这个问题,以对任何复杂度的馈线进行建模,同时保持了较高的计算时间。我们展示了使用2969总线,3个负载/ PV曲线和8个电压调节元件的实际配电系统馈线减少了98.7%。

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