Xueshen Zhao, Lin Zhu, Li Guo, 等. Control Parameters Design Procedure for Multi-Converters DC Power System Considering Dynamic Interaction Between Converters[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(2):724-738.
Xueshen Zhao, Lin Zhu, Li Guo, et al. Control Parameters Design Procedure for Multi-Converters DC Power System Considering Dynamic Interaction Between Converters[J]. CSEE Journal of Power and Energy Systems, 2025, 11(2): 724-738.
Xueshen Zhao, Lin Zhu, Li Guo, 等. Control Parameters Design Procedure for Multi-Converters DC Power System Considering Dynamic Interaction Between Converters[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(2):724-738.DOI: 10.17775/CSEEJPES.2022.00620.
Xueshen Zhao, Lin Zhu, Li Guo, et al. Control Parameters Design Procedure for Multi-Converters DC Power System Considering Dynamic Interaction Between Converters[J]. CSEE Journal of Power and Energy Systems, 2025, 11(2): 724-738.DOI: 10.17775/CSEEJPES.2022.00620.
Control Parameters Design Procedure for Multi-Converters DC Power System Considering Dynamic Interaction Between Converters
design of control parameters of multi-converters medium-voltage DC (MVDC) power system is much more complicated than of a single-converter situation. Open-loop and closed-loop transfer functions considering control-loops dynamic interaction between converters are developed
which are suitable for studying influence of control parameters on system stability. With the above transfer functions
a system-level control parameter design proce-dure for dynamic stability (e.g.
oscillation frequency and damping factor) of system is proposed. If there are many converters
computational burden of system-level control parameters design procedure will be huge. For this reason
a control parameter sharing method is further proposed in this paper
which is based on dynamic interaction mechanism between converters. In this sharing method
control parameters of equivalent reduced-order model of the system are shared with each converter
so calculation burden of control parameters of system is reduced significantly. Consequently
dynamic stability of the system can be designed by equivalent reduced-order model. Experiments are conduced to validate the system-level control parameter design procedure.