{"id":"W4239280722","doi":"10.32920/ryerson.14644032","title":"Modeling of Doubly Fed Induction Generators for Distribution System Power Flow Analysis","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Induction generator; Control theory (sociology); Robustness (evolution); Turbine; AC power; Wind power; Engineering; Grid; Electric power system; Control engineering; Voltage; Computer science; Power (physics); Electrical engineering; Mathematics","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":[0.000182574,0.0007176799,0.0004136208,0.0003470497,0.0002915034,0.0008185789,0.0006796965,0.0006877833,0.003362596],"category_scores_gemma":[0.0003594735,0.000263695,0.0005435743,0.0004497416,0.0002031258,0.0006881907,0.0003097231,0.0006807231,0.001367581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000474174,"about_ca_system_score_gemma":0.0006328383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003437279,"about_ca_topic_score_gemma":0.002820331,"domain_scores_codex":[0.9998944,0.00003273757,0.000006077851,0.00001578469,0.00004113972,0.000009864084],"domain_scores_gemma":[0.9999152,0.0000291274,0.00001535464,0.00001101448,0.0000249088,0.000004310631],"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":[0.00002097223,0.00002873182,0.0004200476,0.00005456524,0.00001240055,0.00008524876,0.0000490507,0.965207,0.003800829,0.01491493,0.001062843,0.01434348],"study_design_scores_gemma":[0.000004220251,0.00001056158,0.00009905132,0.000006213129,0.000003139567,0.00001456388,0.00000641504,0.9944205,0.0004364607,0.002361195,0.002634934,0.000002756379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01822721,0.0003890083,0.9620279,0.0001868913,0.00006778827,0.0001160881,0.0004594697,0.0005822717,0.01794346],"genre_scores_gemma":[0.7946112,0.001947298,0.1742155,0.00007739509,0.00008598089,0.000651099,0.001133617,0.0002289419,0.02704894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003437279,"threshold_uncertainty_score":0.01124901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009322022476249902,"score_gpt":0.1964421314892918,"score_spread":0.1871201090130419,"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."}}