{"id":"W2042103507","doi":"10.1109/tpwrd.2012.2205713","title":"A Control Strategy for Enhanced Operation of Inverter-Based Microgrids Under Transient Disturbances and Network Faults","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Toronto Metropolitan University; Western University","funders":"","keywords":"Microgrid; Transient (computer programming); Fault (geology); Controller (irrigation); Distributed generation; Engineering; Control theory (sociology); Inverter; Control engineering; Upstream (networking); Computer science; Control (management); Voltage; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000149752,0.0004005578,0.0002496658,0.0001887307,0.0001749327,0.0003929547,0.0005347887,0.0002424845,0.001383546],"category_scores_gemma":[0.0002643059,0.00008754882,0.0001691333,0.0001246633,0.0001943791,0.0002969378,0.0003988443,0.0002766678,0.0001926912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401708,"about_ca_system_score_gemma":0.0001930128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007730573,"about_ca_topic_score_gemma":0.0010405,"domain_scores_codex":[0.9999051,0.00001666489,0.000008633338,0.00002427099,0.00003356348,0.0000117722],"domain_scores_gemma":[0.9999231,0.0000158167,0.00001832692,0.00001149515,0.00002464835,0.000006565298],"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":[0.0003857793,0.000272568,0.001037953,0.0003846937,0.00008578423,0.0005515803,0.0003051367,0.5268096,0.1752636,0.02677799,0.002422919,0.2657024],"study_design_scores_gemma":[0.00006593829,0.0004182131,0.0007937812,0.00001385273,0.00003502277,0.0001191729,0.00003311739,0.9783983,0.01492447,0.002213272,0.002970197,0.00001461405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07906615,0.0001919994,0.9095431,0.0001010298,0.0000693745,0.0001036486,0.00003676133,0.0008317293,0.01005621],"genre_scores_gemma":[0.9787202,0.0000630465,0.01980134,0.00002645765,0.00001680996,0.00003838326,0.00002139743,0.00001178905,0.001300536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001383546,"threshold_uncertainty_score":0.00462842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008822116743922142,"score_gpt":0.2040131708025151,"score_spread":0.1951910540585929,"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."}}