{"id":"W4399348365","doi":"10.1109/tpel.2024.3409537","title":"General Linearized Model of Voltage Source Converter With Fixed Nodal Admittance Matrix","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Opal-Rt Technologies (Canada); Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Admittance parameters; Voltage source; Control theory (sociology); Converters; Admittance; State space; Nonlinear system; Modified nodal analysis; Computer science; Nodal analysis; State-space representation; Voltage; Topology (electrical circuits); Matrix (chemical analysis); MIMO; State variable; Electronic engineering; Engineering; Mathematics; Physics; Electrical engineering; Electrical impedance; Control (management)","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":[0.0001838713,0.0009749338,0.0006425122,0.000404165,0.0004149321,0.001094257,0.001338436,0.001029281,0.006377011],"category_scores_gemma":[0.000282898,0.0003100212,0.0007980574,0.0005147468,0.0005628097,0.00129164,0.0006026771,0.0009879777,0.001507628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006379891,"about_ca_system_score_gemma":0.0006508599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004287373,"about_ca_topic_score_gemma":0.002494902,"domain_scores_codex":[0.9997972,0.00004802581,0.00001033715,0.0000493303,0.00007499247,0.00002010386],"domain_scores_gemma":[0.9998991,0.00002464165,0.00001853024,0.00001360783,0.00003917872,0.000004924196],"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":[0.00006598001,0.00003072645,0.0004618403,0.0001905717,0.00003410241,0.000336987,0.0001992051,0.9227591,0.01772744,0.04244088,0.00212674,0.01362651],"study_design_scores_gemma":[0.000007487162,0.00002227741,0.00006141473,0.00000723566,0.000007674224,0.00005835167,0.00001703995,0.992727,0.001122582,0.003852244,0.002108577,0.00000797462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01851423,0.0005336118,0.9337187,0.0003497134,0.0001042689,0.0001287307,0.0004996589,0.001220889,0.04493019],"genre_scores_gemma":[0.911282,0.001332038,0.04708099,0.0002033284,0.00009795534,0.0004322862,0.0007020484,0.0001959153,0.03867349],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006377011,"threshold_uncertainty_score":0.02133322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005529202452332429,"score_gpt":0.2143630430903491,"score_spread":0.2088338406380167,"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."}}