{"id":"W3098061287","doi":"10.1109/tpwrd.2020.3037716","title":"Decentralized Model-Based Predictive Control for DER Units Integration in AC Microgrids Subject to Operational and Safety Constraints","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Microgrid; Model predictive control; Interfacing; Voltage; Control theory (sociology); Engineering; Control engineering; Control (management); AC power; Computer science; Reliability engineering; Electrical engineering","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":[0.0007254346,0.0007392101,0.001011904,0.0002183799,0.000394649,0.0009828612,0.0007105379,0.0005387689,0.001141512],"category_scores_gemma":[0.001476607,0.0004215799,0.0003374908,0.0003720745,0.0006677353,0.0005359182,0.0009415635,0.0008521138,0.0001422589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006160244,"about_ca_system_score_gemma":0.001384961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008913422,"about_ca_topic_score_gemma":0.00931508,"domain_scores_codex":[0.9996717,0.0001035404,0.00001062597,0.00006480949,0.00009129776,0.00005806112],"domain_scores_gemma":[0.999491,0.0002372784,0.0001103064,0.00003860479,0.00009849884,0.00002427109],"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":[0.00002774881,0.00001494018,0.00007901304,0.00002827902,0.0000089118,0.00002149855,0.00002177474,0.9930354,0.0005023843,0.002019076,0.0002110121,0.004029968],"study_design_scores_gemma":[0.000005465712,0.00001580003,0.00003656802,0.000001481782,0.000002243678,0.00000205103,0.000003519287,0.9990227,0.00007419164,0.0007719329,0.0000628655,0.000001133756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09567931,0.0005896697,0.8914067,0.0004972047,0.00008706724,0.0000912751,0.0001080715,0.0005203743,0.01102033],"genre_scores_gemma":[0.9937543,0.0001069519,0.004980605,0.00002440507,0.00002091859,0.00005536922,0.00003047392,0.0000121496,0.001014824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008913422,"threshold_uncertainty_score":0.01772308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001089814311461,"score_gpt":0.2019451707636054,"score_spread":0.1919342726204908,"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."}}