{"id":"W2908951586","doi":"10.1109/epec.2018.8598280","title":"A Power Mismatch Elimination Strategy for an MMC-based PV System in Unbalanced Grids","year":2018,"lang":"en","type":"article","venue":"","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"","keywords":"Maximum power point tracking; Grid-connected photovoltaic power system; Photovoltaic system; Grid; Modular design; Power (physics); Computer science; Electric power system; AC power; Voltage; Electronic engineering; Electrical engineering; Engineering; 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":[0.0001183045,0.0004689718,0.0003039762,0.0002743121,0.0003616246,0.0004068842,0.0004852913,0.0003619386,0.001460918],"category_scores_gemma":[0.0002195245,0.0001346997,0.0001794261,0.0002493542,0.0001451144,0.0003840954,0.0003247261,0.0002725207,0.0002913067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002202573,"about_ca_system_score_gemma":0.0002040984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004853,"about_ca_topic_score_gemma":0.00148486,"domain_scores_codex":[0.9998684,0.00002535204,0.00001157165,0.00002580411,0.00005134389,0.0000175492],"domain_scores_gemma":[0.9999195,0.00001124554,0.00002278585,0.00001058674,0.00002854132,0.000007359128],"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":[0.000492997,0.0002069603,0.002503493,0.0003187183,0.00009011529,0.0009606432,0.0003540219,0.2626479,0.2640027,0.02205274,0.003080086,0.4432897],"study_design_scores_gemma":[0.00007206725,0.0004438404,0.001622753,0.00002181472,0.00004725722,0.0004452082,0.00006472263,0.9481198,0.04002923,0.004000393,0.005110019,0.00002292262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1109032,0.0002351468,0.8762329,0.0001841215,0.00005477794,0.0001251268,0.00004779348,0.0007058756,0.01151094],"genre_scores_gemma":[0.9655527,0.00004934599,0.03267794,0.00004073772,0.00001279854,0.0000322658,0.00003053831,0.0000143507,0.00158929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001460918,"threshold_uncertainty_score":0.004887223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726325761692902,"score_gpt":0.2577790955276889,"score_spread":0.2405158379107599,"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."}}