| 引用本文: | 刘 芳,彭宇恒,刘乾易,等.基于振荡模态辨识的负阻尼振荡故障源定位方法[J].电力系统保护与控制,2025,53(9):60-69.[点击复制] |
| LIU Fang,PENG Yuheng,LIU Qianyi,et al.Fault source location method for negative damping oscillations based on oscillation mode identification[J].Power System Protection and Control,2025,53(9):60-69[点击复制] |
|
| 摘要: |
| 大规模、多区域、高度耦合的互联电力系统正面临着扰动响应强、非线性时变、振荡模态复杂等问题。为了从广域测量系统累积的海量数据中挖掘系统故障状态下的振荡信息，实现故障源定位，提出一种基于振荡模态辨识的负阻尼振荡故障源定位方法。首先，提出一种数据驱动的振荡模态辨识(data-driven mode identification, DDMI)方法，实现负阻尼低频振荡的模态参数辨识，从而筛选出主导模态信号。其次，基于阻尼转矩法推导了发电机在多模态下振荡能量计算式。进一步地，利用模态参数辨识结果复现不同模态下的振荡信号，计算主导模态振荡能量，实现振荡故障发电机定位。最后，通过含风电接入的新英格兰系统进行仿真，验证了DDMI方法的优越性。定位结果表明所提定位方法在多机故障情况下仍能准确定位故障源。 |
| 关键词: 振荡模态辨识 振荡定位 阻尼转矩分析 振荡能量 |
| DOI：10.19783/j.cnki.pspc.240503 |
| 投稿时间：2024-04-25修订日期：2024-08-17 |
| 基金项目:国家自然科学基金项目资助(62373373)；湖南省自然科学基金重点项目资助(2024JJ3033)；湖南省科技创新计划项目资助(2022RC3051) |
|
| Fault source location method for negative damping oscillations based on oscillation mode identification |
| LIU Fang1,PENG Yuheng1,LIU Qianyi1,LIN Sisi1,LI Yong2,LIU Kangzhi3 |
| (1. School of Automation, Central South University, Changsha 410083, China;
2. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;
3. Department of Electrical and Electronic Engineering, Chiba University, Chiba 263-8522, Japan) |
| Abstract: |
| Large-scale, multi-regional, highly coupled interconnected power systems are increasingly facing challenges such as strong perturbation responses, nonlinear time-varying behavior, and complex oscillation modes. To extract oscillation information under fault conditions from the massive data accumulated by wide-area measurement systems (WAMS) and to achieve fault source localization, a negative damping oscillation fault source location method based on oscillation mode identification is proposed. First, a data-driven mode identification (DDMI) method is proposed to identify modal parameters of low-frequency oscillations with negative damping, thereby filtering out the dominant modal signals. Next, based on damping torque analysis, the calculated formula of generator oscillation energy in different oscillation modes is defined. Furthermore, the oscillation signals for different modes are reproduced using the identified modal parameters to compute the dominant mode oscillation energy, which enables the localization of the oscillation-causing generator. Finally, simulations are conducted on a New England power system model with wind power integration to verify the effectiveness of the DDMI method. The results show that the proposed localization method can accurately locate the fault source under multi-machine fault scenarios. |
| Key words: oscillation mode identification oscillation localization damping torque analysis oscillation energy |
