GIC模型的数据驱动传递函数和传输网络参数
Data Driven Transfer Functions and Transmission Network Parameters for GIC Modelling
摘要：
典型的地磁感应电流（GIC）建模假设输电网络中节点处的感应准直流电流通过一对网络参数与当地地电场线性相关。给出了一个有限的时间序列的测量地磁和GIC数据，经验方法，结果在统计上显着的广义合奏参数估计的误差估计确定。该方法展示了不同的传输网络和地磁风暴，并在事先建模存在，显示改进的GIC估计。此外，建模的网络可以在没有任何进一步的网络知识的情况下进行本地表征和探测。洞察包括网络参数变化，有效的网络方向性和响应。合并网络参数和地电场估计，传递函数的推导提供了一种替代方法来评估Transformer暴露于GIC。
英文摘要：
Typical geomagnetically induced current (GIC) modelling assumes the induced quasi-DC current at a node in the transmission network is linearly related to the local geoelectric field by a pair of network parameters. Given a limited time-series of measured geomagnetic and GIC data, an empirical method is presented that results in a statistically significant generalised ensemble of parameter estimates with the error in the estimates identified. The method is showcased for different transmission networks and geomagnetic storms and, where prior modelling exists, shows improved GIC estimation. Furthermore, modelled networks can be locally characterised and probed without any further network knowledge. Insights include network parameter variation, effective network directionality and response. Merging the network parameters and geoelectric field estimation, a transfer function is derived which offers an alternative approach to assessing transformer exposure to GICs.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
