{"id":"W4293080407","doi":"10.1049/icp.2022.1117","title":"Comparative study of Swing Equation-based and full emulation-based Virtual Synchronous Generators","year":2022,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Emulation; Swing; Computer science; Synchronous motor; Transient (computer programming); Voltage source; Electrical impedance; Voltage; Permanent magnet synchronous generator; Control theory (sociology); Representation (politics); Generator (circuit theory); Electric power system; Power (physics); Control engineering; Electronic engineering; Engineering; Electrical engineering; Artificial intelligence; 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":[0.0004756314,0.0004357913,0.0005586327,0.0004535459,0.0001366148,0.0006105318,0.0007053128,0.0003058125,0.002238048],"category_scores_gemma":[0.001410907,0.0001925489,0.0002953995,0.0003761187,0.0002276738,0.0009644782,0.000412133,0.0002961033,0.0003549158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002785104,"about_ca_system_score_gemma":0.000213599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000915087,"about_ca_topic_score_gemma":0.0008239889,"domain_scores_codex":[0.9996904,0.0001511472,0.00001917775,0.00002559647,0.00009812094,0.00001565179],"domain_scores_gemma":[0.9993349,0.0003341953,0.00004845952,0.0001227564,0.0001385739,0.00002112077],"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":[0.0007193903,0.0001178859,0.002289495,0.0004545609,0.0000963939,0.0001861534,0.0001602783,0.8241873,0.01497934,0.01254852,0.001079433,0.1431812],"study_design_scores_gemma":[0.00003771719,0.0003022157,0.0007967427,0.00001400083,0.00001824775,0.00005525708,0.00002245777,0.9913815,0.004418303,0.001224005,0.001720749,0.000008796005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3408074,0.0009144096,0.6347649,0.0001400865,0.00006075341,0.0001316602,0.0001980001,0.001796995,0.0211858],"genre_scores_gemma":[0.9795217,0.0001980948,0.01895327,0.00001049521,0.000006231507,0.00002746199,0.000113879,0.00005532518,0.001113588],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002238048,"threshold_uncertainty_score":0.007486999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043221619810623,"score_gpt":0.221749276459578,"score_spread":0.2013170602614717,"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."}}