{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000242107,0.0004064237,0.0001806493,0.0002234892,0.0003106816,0.0005433146,0.0003824543,0.000196114,0.001436794],"category_scores_gemma":[0.0002630143,0.00006636872,0.0001399792,0.0002199798,0.0002393279,0.000182922,0.0002341834,0.0002743372,0.0001426939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002827901,"about_ca_system_score_gemma":0.0002072383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001729183,"about_ca_topic_score_gemma":0.001819985,"domain_scores_codex":[0.9998249,0.00005149259,0.00001141304,0.00004118656,0.00005749028,0.00001345965],"domain_scores_gemma":[0.9998769,0.00003324023,0.00002748552,0.00001227956,0.0000427017,0.000007396872],"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":[0.0009551466,0.0002157837,0.005092847,0.0006641587,0.0001031749,0.0007223634,0.0007982813,0.4575381,0.1404148,0.02467718,0.005488865,0.3633294],"study_design_scores_gemma":[0.00006877152,0.0005214852,0.001180474,0.00003514281,0.0000342175,0.0001418432,0.0000771202,0.9786149,0.01107388,0.002661069,0.005575748,0.0000154266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1981761,0.0006297646,0.7801117,0.0003491965,0.0001813928,0.0001621556,0.0001023366,0.001116512,0.0191709],"genre_scores_gemma":[0.9943596,0.00007516627,0.004683129,0.00001821338,0.00001333203,0.00002287354,0.00001306257,0.000006302922,0.0008084439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001729183,"threshold_uncertainty_score":0.004806578,"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."}}