PAN Chao, SHI Xiaobo, LIU Chunming, et al. Multi-field Coupling and State Identification of Grounding Transformers with GIC/HVDC Ground Current Intrusion[J]. 2025, 51(5): 2349-2362.
DOI:
PAN Chao, SHI Xiaobo, LIU Chunming, et al. Multi-field Coupling and State Identification of Grounding Transformers with GIC/HVDC Ground Current Intrusion[J]. 2025, 51(5): 2349-2362. DOI: 10.13336/j.1003-6520.hve.20240259.
Multi-field Coupling and State Identification of Grounding Transformers with GIC/HVDC Ground Current Intrusion
摘要
地磁暴诱发的地磁感应电流(geomagnetically induced current,GIC)和高压直流输电(high voltage direct current,HVDC)单极运行对地电流入侵电网接地变压器导致偏磁异常。针对该问题,对比分析GIC/HVDC两种场景下大地电流的时域波动特征,提出考虑大地电流入侵的变压器多物理场耦合模型,提取电流、磁通、电磁力、振动及噪声作为各场域物理特征信息。仿真分析典型场景中GIC/HVDC对地电流对变压器多场传播特征的影响,归纳物理特征信息间的耦合关联,并对比两者造成的扰动差异。结果表明:HVDC对地电流入侵变压器的影响较平稳,GIC导致多场特征参数变化具有更加复杂的时序波动性。搭建动模实验平台,测量不同模式下变压器的电流、振动及噪声数据,并与仿真结果对比,验证该文模型与结论的正确性和有效性。最后,基于虚实一致性构建多模-态特征信息域,以扰动水平作为关键判据划分运行风险状态;当扰动水平达到1.5时,扰动电流导致变压器内部电磁、机械环境失稳。该方法能够有效识别GIC/HVDC对地电流入侵场景下变压器的运行风险状态,为变压器故障辨识和设备保护提供依据。
Abstract
Geomagnetically induced current (GIC) generated by geomagnetic storm and ground current generated by the monopolar operation of high voltage direct current (HVDC) system invade the grid grounding transformers
resulting in magnetic bias anomaly. To address this issue
the time-domain fluctuation features of ground currents under GIC/HVDC scenarios are comparatively analyzed. A multi-physics coupling model of transformer considering the ground currents intrusion is proposed
and physical feature information such as current
flux
electromagnetic force
vibration
and noise in various fields are extracted. The influences of GIC/HVDC ground current on propagation features are simulated and analyzed under the typical scenes
and the coupling relationships of physical features are summarized. Furthermore
the disturbance differences between GIC and HVDC ground current are compared. The results show that the impact of HVDC ground current on transformers is relatively stable
while GIC induces more complex temporal fluctuations in multi-field feature parameters. A dynamic experimental platform is built to measure the current
vibration
and noise data of transformer under different modes
then the correctness and effectiveness of the proposed model and conclusions are verified by comparing experiments and simulations. Finally
the multimodal feature information domains are constructed based on virtual-real consistency
and the disturbance level is used as the key criterion to divide the operation risk states. When the disturbance level reaches 1.5
the disturbance current leads to instability in the electromagnetic and mechanical environment inside the transformer. This method can be adopted to effectively identify the operational risk states of transformers under GIC/HVDC ground current intrusion scenarios
providing a basis for transformer fault identification and equipment protection.