Measurement-based power system dynamic model reductions

Xuemeng Zhang, Yaosuo Xue, Shutang You, Yong Liu, Z. Yuan, Jidong Chai, Yilu Liu
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引用次数: 35

Abstract

Interconnected power systems experienced a significant increase in size and complexity. It is computationally burdensome to represent the entire system in detail to conduct power system analysis. Therefore, the model of the study system must be retained in detail while the external system can be reduced using system reduction techniques. This paper proposes a measurement-based dynamic equivalent in order to increase both model accuracy and simulation speed. The proposed method uses a set of measurements at the boundary nodes between the study area and external area for model parameter identification. Case studies demonstrate that the measurement-based technique can capture the main system behaviors accurately and improve computational efficiency.
基于测量的电力系统动态模型缩减
互联电力系统的规模和复杂性显著增加。在进行电力系统分析时,要详细地表示整个系统,计算量很大。因此,研究系统的模型必须详细保留,而外部系统可以使用系统约简技术进行约简。为了提高模型的精度和仿真速度,本文提出了一种基于测量的动态等效模型。该方法利用研究区域与外部区域边界节点处的一组测量值进行模型参数识别。实例研究表明,基于测量的技术可以准确地捕捉系统的主要行为,提高计算效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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