{"id":"W3004372350","doi":"10.1109/pesgm40551.2019.8973952","title":"Hierarchical Optimal Control of the Resilient Community Microgrid in Islanded Mode","year":2019,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Microgrid; Voltage droop; Control theory (sociology); Semidefinite programming; Mode (computer interface); Optimal control; Computer science; Economic dispatch; Power flow; Mathematical optimization; Power (physics); AC power; Reset (finance); Automatic frequency control; Rank (graph theory); Control (management); Control engineering; Voltage; Mathematics; Engineering; Electric power system; Voltage regulator; Telecommunications","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":[0.0003492769,0.000623404,0.0003811037,0.0002323828,0.0003996704,0.0005840445,0.000626419,0.0003228755,0.001707008],"category_scores_gemma":[0.000547001,0.0001689934,0.0003097724,0.0002228779,0.0004646108,0.0004298435,0.0008782927,0.0004148799,0.0001613111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004998849,"about_ca_system_score_gemma":0.0007511872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007434791,"about_ca_topic_score_gemma":0.007737867,"domain_scores_codex":[0.9998434,0.00003575169,0.000007064521,0.00003735831,0.00003988275,0.00003653759],"domain_scores_gemma":[0.9998125,0.00005126924,0.00004711007,0.00001581034,0.00005183066,0.00002145423],"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":[0.0000493262,0.00003949274,0.0002838278,0.00004538712,0.0000146773,0.00008165296,0.00006155123,0.9736626,0.004530467,0.0046428,0.0004774109,0.01611083],"study_design_scores_gemma":[0.0000072877,0.00004108731,0.0001193726,0.000001428312,0.000002900509,0.000005335321,0.00001348059,0.9984938,0.0003443215,0.000823663,0.0001449969,0.000002227875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2075794,0.0001809689,0.775492,0.0002793844,0.00004485015,0.0001026249,0.00008975005,0.000498892,0.01573224],"genre_scores_gemma":[0.9883538,0.00003962706,0.01049425,0.00001875026,0.000007531079,0.00003131188,0.0000237733,0.000008542869,0.001022295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007434791,"threshold_uncertainty_score":0.01478302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003626672925593418,"score_gpt":0.1882180906595404,"score_spread":0.184591417733947,"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."}}