David Li, Conghuan Yang, Ying Xue, 等. Online Power System Voltage Stability Index for LCC HVDC Using Local Measurements[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(1):100-110.
David Li, Conghuan Yang, Ying Xue, et al. Online Power System Voltage Stability Index for LCC HVDC Using Local Measurements[J]. CSEE Journal of Power and Energy Systems, 2023, 9(1): 100-110.
David Li, Conghuan Yang, Ying Xue, 等. Online Power System Voltage Stability Index for LCC HVDC Using Local Measurements[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(1):100-110.DOI: 10.17775/CSEEJPES.2022.02530.
David Li, Conghuan Yang, Ying Xue, et al. Online Power System Voltage Stability Index for LCC HVDC Using Local Measurements[J]. CSEE Journal of Power and Energy Systems, 2023, 9(1): 100-110.DOI: 10.17775/CSEEJPES.2022.02530.
Online Power System Voltage Stability Index for LCC HVDC Using Local Measurements
This paper proposes an online power system voltage stability index (PVSI_Online) that quantifies power system voltage stability in real time between an AC network and LCC HVDC using only local measurements. Previous methods relied on using telecommunications to inform a change in a predetermined AC network model. The proposed method uses local measurements of voltage and current from the HVDC using a newly developed
numerically robust technique called Moving Window Covariance to detect a change in the AC network in real time. These network parameters are fed to a newly devised index that accurately models and captures the dynamics of the interaction between an LCC HVDC and AC network. The index is used to quantify stability
but also to advise network operation. In an onset of instability due to network degradation
the proposed index can provide a power order value for the HVDC to restore stability. All as a self-contained module that can be implemented within a HVDC scheme.