{"id":"W4380885005","doi":"10.1109/globconet56651.2023.10149959","title":"Numerically Efficient Model of Voltage-Source Converters for Power Systems Transient Studies","year":2023,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Science and Engineering Research Council","keywords":"Interfacing; Converters; Voltage source; Computer science; Electric power system; Voltage; Power (physics); Latency (audio); Control theory (sociology); Electronic engineering; Electrical engineering; Computer hardware; Engineering; Telecommunications","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":[0.0002919949,0.0007178481,0.0006876977,0.0003139676,0.000524968,0.0007702866,0.001036236,0.0008713076,0.004414124],"category_scores_gemma":[0.0009026396,0.0002931855,0.0006151724,0.0004776284,0.0004206977,0.0007200636,0.0006284608,0.00133318,0.0009214772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000552756,"about_ca_system_score_gemma":0.0009950901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005644161,"about_ca_topic_score_gemma":0.005108936,"domain_scores_codex":[0.9998734,0.00004063415,0.000005849696,0.00001459924,0.00005216443,0.00001326586],"domain_scores_gemma":[0.9998146,0.00009445249,0.00001889082,0.00002362673,0.00003957344,0.00000903185],"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":[0.00001387448,0.00001413243,0.0001703867,0.0000376135,0.000005756286,0.00003974831,0.0000247105,0.9853023,0.001893253,0.007566972,0.0004401309,0.004491039],"study_design_scores_gemma":[0.000002505514,0.00000370475,0.00002272666,0.000002502159,0.000001217888,0.000003727353,0.000003776195,0.9984572,0.0001641925,0.0008220364,0.0005152636,0.000001196142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0220727,0.0003578495,0.9530264,0.00023582,0.00007995629,0.0001227794,0.0002510681,0.0004448679,0.02340851],"genre_scores_gemma":[0.8231693,0.0008320019,0.1605679,0.0001033151,0.00007238868,0.0007662977,0.0004475258,0.0002035872,0.01383759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005644161,"threshold_uncertainty_score":0.01476669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638225928352131,"score_gpt":0.2190266803919078,"score_spread":0.2026444211083865,"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."}}