{"id":"W1989773681","doi":"10.1109/tpwrd.2013.2243170","title":"Stand-Alone Doubly-Fed Induction Generators (DFIGs) With Autonomous Frequency Control","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Induction generator; Automatic frequency control; Voltage droop; Phase-locked loop; Islanding; Control theory (sociology); Stator; Wind power; Doubly fed electric machine; Control engineering; Computer science; Engineering; Control (management); Voltage; Electrical engineering; Voltage regulator; AC power; Renewable energy","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005547984,0.000273581,0.0002411891,0.0002146972,0.000159917,0.0001032236,0.0001095431,0.0001565557,0.001115022],"category_scores_gemma":[8.394696e-7,0.0002469377,0.00009083709,0.0002583544,0.00004125775,0.0005625506,3.844279e-7,0.000302811,0.0002882065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835175,"about_ca_system_score_gemma":0.00005270258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001491414,"about_ca_topic_score_gemma":0.00004936841,"domain_scores_codex":[0.9989037,0.00003227107,0.0002832522,0.000264314,0.0001895276,0.0003269284],"domain_scores_gemma":[0.999366,0.00002808079,0.00004332085,0.0002762173,0.000152512,0.0001338106],"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":[0.0001137304,0.0001319808,0.00002434871,0.00002325032,0.000324172,0.00001035452,0.0002802608,0.9369317,0.03733899,0.00001218206,0.0011928,0.02361625],"study_design_scores_gemma":[0.01910136,0.002278023,0.001794743,0.0002662697,0.0008124178,0.0002091413,0.0004509653,0.8081984,0.1576272,0.0001982847,0.005617766,0.003445395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2862668,0.0005766117,0.7100356,0.00009904082,0.001035082,0.0005532018,0.00006981824,0.0006144963,0.0007493464],"genre_scores_gemma":[0.9974199,0.0002161377,0.00177223,0.000144086,0.0000631869,0.0001724324,0.000008885657,0.00006332042,0.0001398046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7111531,"threshold_uncertainty_score":0.9999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004825852298732313,"score_gpt":0.1625723735281495,"score_spread":0.1577465212294172,"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."}}