{"id":"W2554389680","doi":"10.1109/pesgm.2016.7741177","title":"Power sharing control strategy for a no-storage hydrokinetic-diesel system in an isolated AC mini-grid","year":2016,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Voltage droop; Diesel generator; Maximum power point tracking; Automotive engineering; Power (physics); Energy storage; Automatic frequency control; Control theory (sociology); Frequency grid; Renewable energy; Maximum power principle; Permanent magnet synchronous generator; Computer science; Grid; Engineering; Voltage; Diesel fuel; Inverter; Electrical engineering; Voltage source; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001442555,0.0001855916,0.0002575708,0.0001082368,0.00002988296,0.00005815888,0.0001619812,0.0001175005,0.0001527414],"category_scores_gemma":[0.00001726239,0.000134952,0.0000548838,0.00009173587,0.00001086995,0.0002652998,0.00001301271,0.00005979916,0.00005391628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001007196,"about_ca_system_score_gemma":0.00001040792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001614027,"about_ca_topic_score_gemma":0.00006075194,"domain_scores_codex":[0.9989876,0.00001526161,0.0003267442,0.0002425878,0.00007410632,0.0003537044],"domain_scores_gemma":[0.999502,0.00005383364,0.00003341766,0.0002320454,0.00009316722,0.00008554551],"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":[0.00082117,0.000167588,0.002132403,0.0005220905,0.0002970325,0.00005466532,0.0004647053,0.7080622,0.2705515,0.002602755,0.002642765,0.01168113],"study_design_scores_gemma":[0.003340287,0.0001648412,0.0003764748,0.00008853664,0.00001442824,0.000004935705,0.00005059313,0.9939252,0.0004090692,0.00001633028,0.001363515,0.0002458437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3370167,0.001095003,0.645781,0.0001640844,0.001513066,0.002071687,0.0001937433,0.001706298,0.01045837],"genre_scores_gemma":[0.9987256,0.0000184149,0.0005547457,0.00003009026,0.0001362612,0.0001024297,0.00001210213,0.00004595354,0.0003744185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6617089,"threshold_uncertainty_score":0.5503182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006548211685592443,"score_gpt":0.1963480819646707,"score_spread":0.1897998702790782,"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."}}