Multistage Parameter Identification for Fault Control Parameters of the IIRES

Accurate identification of fault control parameters (FCPs) in the inverter-interfaced renewable energy source (IIRES) is crucial for simulating fault characteristics and designing protection. However, accurate identification can be challenging due to the correlation among FCPs. To address this issue, the correlation of parameters (COP) in the IIRES fault control process is comprehensively investigated in the s-domain and time-domain for the first time, and a multistage parameter identification method is proposed. This method partitions fault transients in different time sequences and control state spaces, allowing the COP to be decoupled and FCPs to be identified independently. The Mahalanobis distance-based objective function is used to further enhance the identification of low-sensitive parameters. Hardware-in-loop experiments and field short-circuit tests demonstrate that this method eliminates the influence of COP on parameter identification, and reliably identifies all FCPs involved during IIRES fault transients with an error of less than 9%.