Generator stator windings ground fault diagnosis for generator–grid directly connected system of floating nuclear power plant
For floating nuclear power plants, the internal power system adopts the generator–grid directly connected structure. Generator ground fault diagnosis enables the protective device to adaptively determine the generator tripping control mode based on the fault degree, and shorten the troubleshooting t...
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2021
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oai:doaj.org-article:c83ba934d3d04b8e98f99d67603a4edc2021-11-26T04:32:35ZGenerator stator windings ground fault diagnosis for generator–grid directly connected system of floating nuclear power plant2352-484710.1016/j.egyr.2021.08.018https://doaj.org/article/c83ba934d3d04b8e98f99d67603a4edc2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721006211https://doaj.org/toc/2352-4847For floating nuclear power plants, the internal power system adopts the generator–grid directly connected structure. Generator ground fault diagnosis enables the protective device to adaptively determine the generator tripping control mode based on the fault degree, and shorten the troubleshooting time by fault location. To accurately calculate the ground fault current under different system operating modes, a real-time grounding capacitance parameters calculation method without injection devices is proposed based on third harmonic voltage. Using the fault component principle, the ground fault current is calculated including the fundamental and the third harmonic components. Through fuzzy membership function, the ground fault degree function is established including the ground fault current and the system overvoltage. It comprehensively reflects the damage degree of both the generator operating security and the system insulation security. According to the 60° phase-band distribution characteristic of the stator windings, a fault coil location method based on the windings’ electric potential distribution characteristics is proposed. PSCAD/EMTDC simulation results show that the proposed method has high computational accuracy.Yikai WangXianggen YinJian QiaoLiming TanWen XuWei LiElsevierarticleFloating nuclear power plantGenerator–grid directly connected systemGround fault diagnosisFault degreeFault coil locationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 460-469 (2021) |
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Floating nuclear power plant Generator–grid directly connected system Ground fault diagnosis Fault degree Fault coil location Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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Floating nuclear power plant Generator–grid directly connected system Ground fault diagnosis Fault degree Fault coil location Electrical engineering. Electronics. Nuclear engineering TK1-9971 Yikai Wang Xianggen Yin Jian Qiao Liming Tan Wen Xu Wei Li Generator stator windings ground fault diagnosis for generator–grid directly connected system of floating nuclear power plant |
description |
For floating nuclear power plants, the internal power system adopts the generator–grid directly connected structure. Generator ground fault diagnosis enables the protective device to adaptively determine the generator tripping control mode based on the fault degree, and shorten the troubleshooting time by fault location. To accurately calculate the ground fault current under different system operating modes, a real-time grounding capacitance parameters calculation method without injection devices is proposed based on third harmonic voltage. Using the fault component principle, the ground fault current is calculated including the fundamental and the third harmonic components. Through fuzzy membership function, the ground fault degree function is established including the ground fault current and the system overvoltage. It comprehensively reflects the damage degree of both the generator operating security and the system insulation security. According to the 60° phase-band distribution characteristic of the stator windings, a fault coil location method based on the windings’ electric potential distribution characteristics is proposed. PSCAD/EMTDC simulation results show that the proposed method has high computational accuracy. |
format |
article |
author |
Yikai Wang Xianggen Yin Jian Qiao Liming Tan Wen Xu Wei Li |
author_facet |
Yikai Wang Xianggen Yin Jian Qiao Liming Tan Wen Xu Wei Li |
author_sort |
Yikai Wang |
title |
Generator stator windings ground fault diagnosis for generator–grid directly connected system of floating nuclear power plant |
title_short |
Generator stator windings ground fault diagnosis for generator–grid directly connected system of floating nuclear power plant |
title_full |
Generator stator windings ground fault diagnosis for generator–grid directly connected system of floating nuclear power plant |
title_fullStr |
Generator stator windings ground fault diagnosis for generator–grid directly connected system of floating nuclear power plant |
title_full_unstemmed |
Generator stator windings ground fault diagnosis for generator–grid directly connected system of floating nuclear power plant |
title_sort |
generator stator windings ground fault diagnosis for generator–grid directly connected system of floating nuclear power plant |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/c83ba934d3d04b8e98f99d67603a4edc |
work_keys_str_mv |
AT yikaiwang generatorstatorwindingsgroundfaultdiagnosisforgeneratorgriddirectlyconnectedsystemoffloatingnuclearpowerplant AT xianggenyin generatorstatorwindingsgroundfaultdiagnosisforgeneratorgriddirectlyconnectedsystemoffloatingnuclearpowerplant AT jianqiao generatorstatorwindingsgroundfaultdiagnosisforgeneratorgriddirectlyconnectedsystemoffloatingnuclearpowerplant AT limingtan generatorstatorwindingsgroundfaultdiagnosisforgeneratorgriddirectlyconnectedsystemoffloatingnuclearpowerplant AT wenxu generatorstatorwindingsgroundfaultdiagnosisforgeneratorgriddirectlyconnectedsystemoffloatingnuclearpowerplant AT weili generatorstatorwindingsgroundfaultdiagnosisforgeneratorgriddirectlyconnectedsystemoffloatingnuclearpowerplant |
_version_ |
1718409866868948992 |