GIC Influence on UHV Power Grids Based on Kalman Filter and WAMS Data
Geomagnetically induced currents (GICs) flowing through transformers affect their normal operation and can lead to accidents in power grids. The reactive power loss caused by GICs is called GIC-Q. At present, geomagnetic data are usually used to calculate GICs in research. These methods do not have...
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IEEE
2020-01-01
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Online Access: | https://ieeexplore.ieee.org/document/9249430/ |
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author | Shuming Zhang Lian-Guang Liu Hongpeng Li |
author_facet | Shuming Zhang Lian-Guang Liu Hongpeng Li |
author_sort | Shuming Zhang |
collection | DOAJ |
description | Geomagnetically induced currents (GICs) flowing through transformers affect their normal operation and can lead to accidents in power grids. The reactive power loss caused by GICs is called GIC-Q. At present, geomagnetic data are usually used to calculate GICs in research. These methods do not have real-time characteristics and cannot be used for real-time research on GICs. Response mechanisms for GICs in 1000 kV ultra-high voltage (UHV) transformers and for the effect of GIC-Q on large power grids are urgently required to prevent damage. Based on the principle of Kalman filter, this paper presents a model and method of calculating and analyzing GIC disturbance using the reactive power measured by wide area measurement systems (WAMS). The proposed method exhibits superior characteristics for real-time analysis and solves the problem of real-time shortage in GIC research. The model provides a theoretical calculation of GIC-Q disturbance in a 1000 kV autotransformer. Further, this method was verified according to the measured reactive power in three 1000 kV substations in Shandong Province and the measured geoelectric field at the Anqiu geomagnetic observatory station on September 8, 2017. The calculation results show that the reactive power measured by phasor measurement units (PMUs) can be effectively used to calculate and analyze GIC-Q in the transformers, which is significant to prevent disasters in the power grid caused by magnetic storms through dispatch and operation. |
first_indexed | 2024-12-13T18:36:19Z |
format | Article |
id | doaj.art-29ff6040d13f4da1b204ab6a580eefb4 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-13T18:36:19Z |
publishDate | 2020-01-01 |
publisher | IEEE |
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series | IEEE Access |
spelling | doaj.art-29ff6040d13f4da1b204ab6a580eefb42022-12-21T23:35:21ZengIEEEIEEE Access2169-35362020-01-01820237920238610.1109/ACCESS.2020.30360099249430GIC Influence on UHV Power Grids Based on Kalman Filter and WAMS DataShuming Zhang0https://orcid.org/0000-0001-9794-6465Lian-Guang Liu1Hongpeng Li2State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, ChinaEconomic and Technological Research Institute of State Grid Anhui Electric Power Company Ltd., Hefei, ChinaGeomagnetically induced currents (GICs) flowing through transformers affect their normal operation and can lead to accidents in power grids. The reactive power loss caused by GICs is called GIC-Q. At present, geomagnetic data are usually used to calculate GICs in research. These methods do not have real-time characteristics and cannot be used for real-time research on GICs. Response mechanisms for GICs in 1000 kV ultra-high voltage (UHV) transformers and for the effect of GIC-Q on large power grids are urgently required to prevent damage. Based on the principle of Kalman filter, this paper presents a model and method of calculating and analyzing GIC disturbance using the reactive power measured by wide area measurement systems (WAMS). The proposed method exhibits superior characteristics for real-time analysis and solves the problem of real-time shortage in GIC research. The model provides a theoretical calculation of GIC-Q disturbance in a 1000 kV autotransformer. Further, this method was verified according to the measured reactive power in three 1000 kV substations in Shandong Province and the measured geoelectric field at the Anqiu geomagnetic observatory station on September 8, 2017. The calculation results show that the reactive power measured by phasor measurement units (PMUs) can be effectively used to calculate and analyze GIC-Q in the transformers, which is significant to prevent disasters in the power grid caused by magnetic storms through dispatch and operation.https://ieeexplore.ieee.org/document/9249430/GICs preventionKalman filteringUHV power gridsWAMS |
spellingShingle | Shuming Zhang Lian-Guang Liu Hongpeng Li GIC Influence on UHV Power Grids Based on Kalman Filter and WAMS Data IEEE Access GICs prevention Kalman filtering UHV power grids WAMS |
title | GIC Influence on UHV Power Grids Based on Kalman Filter and WAMS Data |
title_full | GIC Influence on UHV Power Grids Based on Kalman Filter and WAMS Data |
title_fullStr | GIC Influence on UHV Power Grids Based on Kalman Filter and WAMS Data |
title_full_unstemmed | GIC Influence on UHV Power Grids Based on Kalman Filter and WAMS Data |
title_short | GIC Influence on UHV Power Grids Based on Kalman Filter and WAMS Data |
title_sort | gic influence on uhv power grids based on kalman filter and wams data |
topic | GICs prevention Kalman filtering UHV power grids WAMS |
url | https://ieeexplore.ieee.org/document/9249430/ |
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