{"id":"W3025495038","doi":"10.1109/egrid48402.2019.9092669","title":"Multiple mode operation and control for VSG interfacing DC distribution system","year":2019,"lang":"en","type":"article","venue":"2019 4th IEEE Workshop on the Electronic Grid (eGRID)","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Voltage droop; Interfacing; Grid; Control theory (sociology); Mode (computer interface); Oscillation (cell signaling); Low-frequency oscillation; Microgrid; Computer science; Power (physics); Electronic engineering; Engineering; Voltage; Electric power system; Electrical engineering; Voltage regulator; Control (management); Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004040333,0.0002875091,0.0003139961,0.00005350711,0.000177155,0.0001324854,0.0002083248,0.0001551594,0.00001794977],"category_scores_gemma":[0.00003300202,0.0002171466,0.00009757107,0.0001050699,0.00002116677,0.0001441251,0.00001849263,0.0004026787,0.0001036365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003906084,"about_ca_system_score_gemma":0.0000413982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001453686,"about_ca_topic_score_gemma":0.00004200542,"domain_scores_codex":[0.9985332,0.00006563013,0.0003207334,0.0003191172,0.0001615588,0.0005997451],"domain_scores_gemma":[0.9991305,0.0003246318,0.00007877051,0.000342406,0.00006074458,0.00006294281],"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":[0.0003185079,0.00002388527,0.00008381004,0.0001153116,0.0001598137,3.235067e-7,0.0001191906,0.9492787,0.03251326,0.006205865,0.006977626,0.004203755],"study_design_scores_gemma":[0.00193229,0.00011412,0.00004495722,0.000126655,0.000058609,0.000007156927,0.00007918858,0.9825076,0.01186568,0.0000821728,0.002905024,0.0002765099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4022755,0.004294818,0.5851538,0.0008839364,0.002765884,0.00334255,0.0003225318,0.0006675309,0.0002934937],"genre_scores_gemma":[0.9984401,0.0003061341,0.00005945424,0.0001011961,0.0004440556,0.0001900614,0.0001801361,0.00005721203,0.0002215925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5961647,"threshold_uncertainty_score":0.8854983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004457397424755325,"score_gpt":0.189983340839891,"score_spread":0.1855259434151357,"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."}}