{"id":"W4233014101","doi":"10.32920/ryerson.14648877.v1","title":"Current Source Converter Based Offshore Wind Farm: Configuration and Control","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Offshore wind power; Converters; Wind power; Engineering; Permanent magnet synchronous generator; Grid; Low voltage ride through; Renewable energy; Electrical engineering; Controller (irrigation); Generator (circuit theory); Voltage source; Voltage; Power (physics); AC power; Automotive engineering; Electronic engineering; Computer science; 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":[0.0001226663,0.0004007054,0.0003240417,0.0002685379,0.0003950773,0.0007100847,0.0008174084,0.0003968047,0.002562209],"category_scores_gemma":[0.0001593287,0.0002081374,0.0001688594,0.0003350251,0.0001948941,0.0004145427,0.0002548654,0.0004981611,0.0008945824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003181876,"about_ca_system_score_gemma":0.0003904352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009567738,"about_ca_topic_score_gemma":0.001690156,"domain_scores_codex":[0.9998147,0.00001872437,0.00001232775,0.00005778442,0.00008239935,0.00001420469],"domain_scores_gemma":[0.9998935,0.000009374618,0.00002613714,0.00001797281,0.00004350687,0.000009486118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006690911,0.000730315,0.004072172,0.0005966052,0.0001089564,0.0008528897,0.0002725295,0.2621535,0.2750382,0.01027656,0.009272194,0.435957],"study_design_scores_gemma":[0.0001455767,0.0006776804,0.004887854,0.00004146191,0.0000496361,0.0005975565,0.0000796407,0.9375901,0.04258271,0.002746726,0.01055914,0.00004205179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1405575,0.0004511473,0.8252739,0.0002632673,0.000228886,0.0005650495,0.0002046238,0.002052074,0.03040349],"genre_scores_gemma":[0.9549648,0.0002065536,0.03797276,0.00004398129,0.00003414145,0.0002024774,0.0001003591,0.00002344342,0.006451534],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002562209,"threshold_uncertainty_score":0.008571386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418446534169128,"score_gpt":0.2180565446900583,"score_spread":0.203872079348367,"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."}}