Calculation of geomagnetically induced current (GIC) flowing through power system during the geomagnetic storm has attracted more attention recently. However, for high voltage power systems with transmission lines over hundreds or even thousands of kilometers, the earth model and geomagnetical field generally vary significantly. So, its essential to take them into consideration using limited earth survey sites and geomagnetic observatories. To address this problem, a Kriging method is introduced in this paper to make earth model and geomagnetical field interpolations. It has the characteristic of spatial autocorrelation by considering not only the distances between predicted points and training points but also the distances between training points themselves. Finally, a case study of the Central China 1000 kV ultra-high voltage (UHV) grid is carried out to illustrate the applicability and effectiveness of the proposed method.
Geomagnetically Induced Current Calculation of High Voltage Power System with Long Transmission Lines using Kriging Method / Chen, Yuhao; Xie, Yanzhao; Liu, Minzhou; Wang, Zong-yang; Liu, Qing; Qiu, Aici. - In: IEEE TRANSACTIONS ON POWER DELIVERY. - ISSN 0885-8977. - ELETTRONICO. - 37:1(2022), pp. 650-657. [10.1109/TPWRD.2021.3068216]
Geomagnetically Induced Current Calculation of High Voltage Power System with Long Transmission Lines using Kriging Method
Liu, Minzhou;
2022
Abstract
Calculation of geomagnetically induced current (GIC) flowing through power system during the geomagnetic storm has attracted more attention recently. However, for high voltage power systems with transmission lines over hundreds or even thousands of kilometers, the earth model and geomagnetical field generally vary significantly. So, its essential to take them into consideration using limited earth survey sites and geomagnetic observatories. To address this problem, a Kriging method is introduced in this paper to make earth model and geomagnetical field interpolations. It has the characteristic of spatial autocorrelation by considering not only the distances between predicted points and training points but also the distances between training points themselves. Finally, a case study of the Central China 1000 kV ultra-high voltage (UHV) grid is carried out to illustrate the applicability and effectiveness of the proposed method.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2933616