{"id":"W4414758221","doi":"10.1109/tie.2025.3603063","title":"Voltage Support Capability Analysis for Grid-Forming Inverters With Adaptive Virtual Impedance Under Asymmetrical Grid Faults","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Phasor; Transient (computer programming); Grid; Voltage; Electrical impedance; Margin (machine learning); Control theory (sociology); Stability (learning theory); Fault (geology); Transient voltage suppressor","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003388474,0.0004002528,0.0002553828,0.0003783557,0.000182254,0.0004398067,0.0004130392,0.0003052616,0.001206177],"category_scores_gemma":[0.001298529,0.00009495808,0.0002498325,0.0002830575,0.0003321132,0.0005987455,0.0003544345,0.0003129611,0.0001133396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004646125,"about_ca_system_score_gemma":0.000251126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002130542,"about_ca_topic_score_gemma":0.001583425,"domain_scores_codex":[0.999827,0.00004234328,0.000009503359,0.00002742257,0.00006368414,0.00003014613],"domain_scores_gemma":[0.9995949,0.0001769564,0.00009959892,0.00003470151,0.00007708601,0.00001679427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001739631,0.00004142446,0.001746722,0.0000939613,0.00001756678,0.0001586726,0.00011756,0.929019,0.02332169,0.01403578,0.0003022935,0.03097137],"study_design_scores_gemma":[0.000002834238,0.00004509723,0.0002690282,0.000003690336,0.000004066728,0.00001882525,0.00001482728,0.9969866,0.001331137,0.0012279,0.00009348313,0.000002563961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3955345,0.0002421192,0.5957497,0.000111045,0.00001613999,0.00004547503,0.00007398908,0.0003067807,0.007920226],"genre_scores_gemma":[0.9973229,0.00004122266,0.002430214,0.000003441673,0.000002356651,0.000006354861,0.00001102409,0.000004326057,0.0001781246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002130542,"threshold_uncertainty_score":0.004236341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471916600221582,"score_gpt":0.2231256596173747,"score_spread":0.2084064936151589,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}