Zhiqing Yao, Qun Zhang, Peng Chen, et al. Research on fault diagnosis for MMC-HVDCSystems[J]. Protection and Control of Modern Power Systems, 2016, 1(1).
DOI:
Zhiqing Yao, Qun Zhang, Peng Chen, et al. Research on fault diagnosis for MMC-HVDCSystems[J]. Protection and Control of Modern Power Systems, 2016, 1(1).DOI: 10.1186/s41601-016-0022-0.
Introduction: With the development of flexible HVDC technology
the fault diagnosis of MMC-HVDC becomes a new research direction. Based on the fault diagnosis theory
this paper proposes a robust fault diagnosis method to study the fault diagnosis problem of MMC-HVDC systems. Methods: By optimizing the gain matrix in the fault observer
fault detection with good sensitivity and robustness to disturbance is achieved. In the MMC-HVDC system
because of the inherently uncertain system and the presence of various random disturbances
the study of robust fault diagnosis method is particularly important. Results: Simulation studies during various AC faults have been carried out based on a 61-level MMC-HVDC mathematical model. The results validate the feasibility and effectiveness of the proposed fault diagnosis method. Conclusions: So this fault diagnosis method can be further applied to the actual project
to quickly achieve system fault diagnosis and accurately complete fault identification.
Abstract
Introduction: With the development of flexible HVDC technology
the fault diagnosis of MMC-HVDC becomes a new research direction. Based on the fault diagnosis theory
this paper proposes a robust fault diagnosis method to study the fault diagnosis problem of MMC-HVDC systems. Methods: By optimizing the gain matrix in the fault observer
fault detection with good sensitivity and robustness to disturbance is achieved. In the MMC-HVDC system
because of the inherently uncertain system and the presence of various random disturbances
the study of robust fault diagnosis method is particularly important. Results: Simulation studies during various AC faults have been carried out based on a 61-level MMC-HVDC mathematical model. The results validate the feasibility and effectiveness of the proposed fault diagnosis method. Conclusions: So this fault diagnosis method can be further applied to the actual project
to quickly achieve system fault diagnosis and accurately complete fault identification.