Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study
Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study
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DOI：
10.48550/arxiv.2209.11105
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发表时间：
2022-09
期刊：
影响因子：
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通讯作者：
Shaohui Liu;Hao Zhu;V. Kekatos
中科院分区：
文献类型：
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作者：
Shaohui Liu;Hao Zhu;V. Kekatos
广域动态研究对于确保电网的稳定性和可靠性至关重要。本文提出了一个综合框架，用于使用正常电网运行期间收集的无处不在的快速环境数据来推断小信号状态下的动态响应。我们已经证明，通过仅在这两个位置收集的交叉关联角度和功率流数据流，可以以无模型的方式恢复任何一对位置之间的脉冲响应，这超出了之前仅基于频率数据的工作。该结果是通过在特定条件下对线性二阶摆动动力学进行基于模型的分析得出的。数值验证证明了其对现实电力系统模型（包括非线性、高阶动态）的适用性。特别是，在合成德克萨斯互连 (TI) 系统上使用合成 PMU 数据的案例研究有力地证实了使用角度 PMU 数据相对于频率数据进行现实世界电力系统动态建模的优势。
Wide-area dynamic studies are of paramount importance to ensure the stability and reliability of power grids. This paper puts forth a comprehensive framework for inferring the dynamic responses in the small-signal regime using ubiquitous fast-rate ambient data collected during normal grid operations. We have shown that the impulse response between any pair of locations can be recovered in a model-free fashion by cross-correlating angle and power flow data streams collected only at these two locations, going beyond previous work based on frequency data only. The result has been established via model-based analysis of linearized second-order swing dynamics under certain conditions. Numerical validations demonstrate its applicability to realistic power system models including nonlinear, higher-order dynamics. In particular, the case study using synthetic PMU data on a synthetic Texas Interconnection (TI) system strongly corroborates the benefit of using angle PMU data over frequency data for real-world power system dynamic modeling.