Analysis of factors affecting switching over voltage of main transformer in 500kV GIS booster station

Liu, Shoubao; Xiong, Zhonghao; Hou, Yucheng; Li, Tong; Wei, Changwei; Yuan, Fang

doi:10.1109/acpee48638.2020.9136361

Cited by 2 publications

(3 citation statements)

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“…Despite many benefits, GIS has a fundamental problem, which is stress on the insulation types of equipment under very fast transient overvoltage (VFTO) caused by switching operation [7][8][9] . VFTO is generated during the operation of circuit breakers and disconnectors within GIS.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Very Fast Transient Overvoltage in a Nuclear Plant 500kV GIL-GIS System

Yin¹,

Li²,

Zhang³

et al. 2023

J. Phys.: Conf. Ser.

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The simulation models of the 500kV gas-insulated transmission lines (GIL) and gas-insulated substation (GIS) systems in a realistic nuclear plant are presented in the paper. The Very Fast Transient Overvoltage (VFTO) which is generated during switching operations, is analyzed. Some affecting factors on the level of the VFTO are investigated. These factors are the location of the power source, the entrance capacitance of the potential transformer (PT), and the capacitive voltage transformer (CVT). At last, some suggestions on overvoltage calculations or calculations of electromagnetic interference sources are proposed. The conclusions can be used in insulation designing and analyzing the electromagnetic interference on the secondary system in nuclear plants and substations.

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Section: Introductionmentioning

confidence: 99%

Analysis of the Very Fast Transient Overvoltage in a Nuclear Plant 500kV GIL-GIS System

Yin¹,

Li²,

Zhang³

et al. 2023

J. Phys.: Conf. Ser.

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“…During the solar maximum period March 2001–October 2002, when several large geomagnetic storms occurred, the main transformers of the Shang'he and Wu'nan substations of the Yangcheng–Huaiyin 500 kV transmission line in Jiangsu province repeatedly produced abnormal sound phenomena lasting 1–2 hr. The cause of these sound phenomena were later identified as transformer direct current bias due to GIC (Liu & Xie, 2005). During the super geomagnetic storm period 8–10 November 2004, GICs were abnormally high, up to 47.2 and 55.8 A at the neutral point of the Ling'ao Nuclear Power Station in Guangdong Province (Liu et al., 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Li et al (2020) used the geomagnetic storm data of March 1989 to calculate the GIC level in eastern Mongolia, China, and found that the GIC value exceeded 160A and the secondary GIC-Q loss also exceeded 100Mvar.During the solar maximum period March 2001-October 2002, when several large geomagnetic storms occurred, the main transformers of the Shang'he and Wu'nan substations of the Yangcheng-Huaiyin 500 kV transmission line in Jiangsu province repeatedly produced abnormal sound phenomena lasting 1-2 hr. The cause of these sound phenomena were later identified as transformer direct current bias due to GIC (Liu & Xie, 2005). During the super geomagnetic storm period 8-10 November 2004, GICs were abnormally high, up to 47.2 and…”

mentioning

confidence: 99%

Modeling and Evaluating Power Grid Resilience Under Extreme Space Weather

Gao,

Miao,

Wang

et al. 2023

JGR Space Physics

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The geomagnetically induced current (GIC) produced during extreme geomagnetic storms can easily lead to large‐scale blackouts in China due to the increase in the scale of its electric power grid. A power grid's resilience is its capability to resist various natural hazards, withstand primary failures, and quickly resume normal operation. To avoid power grid damages, this study developed a resilient power grid, incorporating failure, power flow calculation and recovery models under a uniform induced geoelectric field. We chose a system's performance loss as the resilience evaluation indicator, which intuitively reflected a system's loss under GIC. In addition, the recovery model was optimized using a genetic algorithm, and two resilience improvement measures were proposed. The IEEE‐RTS‐79 system, consisting of 10 generators, 24 buses and 5 transformers, was chosen as an example to verify the feasibility of this study. The results show that the genetic algorithm and optimization measures effectively enhanced the system's resilience indicator and provided a reference for preventing system damages under GIC and quick recovery after possible failures.

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Analysis of factors affecting switching over voltage of main transformer in 500kV GIS booster station

Cited by 2 publications

References 0 publications

Analysis of the Very Fast Transient Overvoltage in a Nuclear Plant 500kV GIL-GIS System

Analysis of the Very Fast Transient Overvoltage in a Nuclear Plant 500kV GIL-GIS System

Modeling and Evaluating Power Grid Resilience Under Extreme Space Weather

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