{"id":"W2742134720","doi":"10.1109/tpel.2017.2734281","title":"An Enhanced Steady-State Model and Capacitor Sizing Method for Modular Multilevel Converters for HVdc Applications","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Capacitor; Control theory (sociology); Sizing; Capacitance; Voltage; Inductance; Converters; Modular design; Amplitude; Steady state (chemistry); Engineering; Electronic engineering; Computer science; Physics; Electrical engineering","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":[0.0002826589,0.0005023096,0.0004263131,0.0004218664,0.0002881767,0.0006886061,0.0008440301,0.0005385384,0.002648311],"category_scores_gemma":[0.0004831573,0.0003119665,0.0006323122,0.0004041381,0.0002456347,0.0008153571,0.0002849148,0.0007081227,0.000792236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005544318,"about_ca_system_score_gemma":0.0006254272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002522097,"about_ca_topic_score_gemma":0.003073988,"domain_scores_codex":[0.9998125,0.00004281316,0.00000860146,0.0000314338,0.00009337674,0.00001131691],"domain_scores_gemma":[0.9998873,0.00003288303,0.00001492614,0.00001769841,0.00004355579,0.000003644778],"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":[0.00003159391,0.00003077762,0.0002660731,0.0001149456,0.00002146236,0.00008557692,0.00009959404,0.9033341,0.02223527,0.02262028,0.00105397,0.05010632],"study_design_scores_gemma":[0.000002097651,0.00001414947,0.0000443307,0.00000407537,0.000003612114,0.00001516834,0.000003781851,0.9961671,0.001068277,0.001584304,0.001089602,0.000003490103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003736091,0.0000893214,0.9926907,0.00003561122,0.00001416785,0.00002450644,0.00004908694,0.0002686245,0.003091788],"genre_scores_gemma":[0.7017485,0.0006333043,0.2874614,0.0000888846,0.00005498671,0.0002962264,0.0003051013,0.0001710249,0.009240615],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002648311,"threshold_uncertainty_score":0.008859515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525875541641003,"score_gpt":0.2843020865622795,"score_spread":0.2690433311458695,"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."}}