{"id":"W2934200708","doi":"10.1109/tpwrd.2019.2908686","title":"Short-Circuit Model for Type-IV Wind Turbine Generators With Decoupled Sequence Control","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Phasor; Control theory (sociology); Turbine; Engineering; Wind power; AC power; Power electronics; Fault (geology); Grid; Transient (computer programming); Low voltage ride through; Controller (irrigation); Control engineering; Electric power system; Voltage; Computer science; Power (physics); Electrical engineering; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006066462,0.0002173057,0.0002211652,0.0001135469,0.00007357693,0.00003966566,0.0001133298,0.0001124079,0.0001191184],"category_scores_gemma":[8.067876e-7,0.0001997751,0.00009129485,0.0001546784,0.00002037848,0.0002192568,3.093427e-7,0.0001575385,0.00006168481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009096369,"about_ca_system_score_gemma":0.00004571805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005741581,"about_ca_topic_score_gemma":0.00002390902,"domain_scores_codex":[0.9991338,0.00000940225,0.0001961362,0.0002501222,0.0001371667,0.0002734335],"domain_scores_gemma":[0.9994629,0.00004117226,0.00002014249,0.0002546575,0.0001373896,0.00008372421],"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":[0.0001603969,0.0000333596,0.0000454313,0.0000161071,0.0001489576,0.000001364758,0.00007167339,0.9758072,0.0213867,0.000008120923,0.0001156506,0.002204976],"study_design_scores_gemma":[0.001435365,0.0001464783,0.00003793839,0.00002195761,0.00009629782,0.000008153702,0.000009643146,0.9929871,0.004882467,0.00001034064,0.00009382218,0.0002704694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3110882,0.0001712486,0.687519,0.00001165812,0.0003795994,0.0004811023,0.0001098534,0.0001690248,0.00007032235],"genre_scores_gemma":[0.9980043,0.0001265715,0.001321246,0.0001606682,0.00002600773,0.00004340198,0.0000150039,0.00006281817,0.0002399737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6869161,"threshold_uncertainty_score":0.8146591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728349888945577,"score_gpt":0.2098459057061664,"score_spread":0.1925624068167106,"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."}}