{"id":"W2798367797","doi":"10.1109/apec.2018.8341231","title":"Asymmetric low-voltage ride-through scheme and dynamic voltage regulation in distributed generation units","year":2018,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Low voltage ride through; Fault (geology); Voltage; Grid; Reliability (semiconductor); Computer science; Voltage regulation; Low voltage; Process (computing); Power (physics); Control theory (sociology); Reliability engineering; Engineering; Electrical engineering; Control (management); 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":[0.0005163899,0.0003670275,0.0004858273,0.0004761216,0.0003689189,0.000610817,0.001138547,0.0004699966,0.001333808],"category_scores_gemma":[0.001115695,0.0001638333,0.0003165283,0.000646931,0.0004038434,0.000898048,0.0003650105,0.000451321,0.0002351836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005266655,"about_ca_system_score_gemma":0.0003752663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676748,"about_ca_topic_score_gemma":0.001183662,"domain_scores_codex":[0.9993413,0.0001933108,0.00006029198,0.0001746472,0.0001672319,0.00006316883],"domain_scores_gemma":[0.9995981,0.00008034944,0.0001302081,0.00009334727,0.00008209586,0.00001590404],"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":[0.0005827205,0.0001896317,0.002002365,0.0003739638,0.00004332453,0.0004088212,0.0002885147,0.5340009,0.05793113,0.03872124,0.002580142,0.3628773],"study_design_scores_gemma":[0.00006929306,0.0003258029,0.0009466688,0.00002676706,0.00003481083,0.0003211256,0.00003256742,0.9665554,0.01913061,0.007714035,0.004806751,0.00003610954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.110822,0.0007896069,0.8795122,0.000155984,0.00008914695,0.0001041581,0.00008385354,0.0009748884,0.007468085],"genre_scores_gemma":[0.976836,0.0001589168,0.02189909,0.00002736722,0.00002485394,0.00004248573,0.00003861193,0.00002175209,0.0009510462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001676748,"threshold_uncertainty_score":0.004462004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00832382650088798,"score_gpt":0.2027631634122316,"score_spread":0.1944393369113437,"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."}}