{"id":"W2977582684","doi":"10.1109/tpwrd.2019.2916034","title":"Adaptive Coordination for Power and SoC Limiting Control of Energy Storage in an Islanded AC Microgrid With Impact Load","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Voltage droop; Microgrid; Automatic frequency control; Control theory (sociology); Energy storage; Engineering; State of charge; Limit (mathematics); Distributed generation; Renewable energy; Power control; Electric power system; Power (physics); Computer science; Control engineering; Automotive engineering; Control (management); Battery (electricity); Electrical engineering; Voltage; Voltage regulator","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009876718,0.0001764436,0.0002472311,0.0001810719,0.00003830282,0.00002574378,0.00005818678,0.00009950176,0.00005483906],"category_scores_gemma":[0.000001261674,0.0001612322,0.00007519434,0.0001339646,0.00002409471,0.0003324178,4.586261e-7,0.0001146549,0.000001831495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246107,"about_ca_system_score_gemma":0.00004072392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005503497,"about_ca_topic_score_gemma":0.000186676,"domain_scores_codex":[0.9992542,0.00002902084,0.000208112,0.0001941258,0.000110321,0.0002041709],"domain_scores_gemma":[0.999514,0.00009706103,0.00005420081,0.0001345153,0.0001478018,0.0000523596],"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":[0.001385016,0.0001609725,0.0003084641,0.00003101546,0.0002072313,0.000002893369,0.0007168559,0.929991,0.05712192,0.00001679505,0.00004002833,0.01001782],"study_design_scores_gemma":[0.009419084,0.002378584,0.001951655,0.0001487899,0.0001199149,0.00001450452,0.0005020009,0.9611534,0.02358055,0.00002018683,0.0001769473,0.0005343578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4962463,0.0003334733,0.5027882,0.00001197439,0.0001296694,0.0002665946,0.0001065335,0.0000485995,0.00006868943],"genre_scores_gemma":[0.9992641,0.00008683075,0.0004937107,0.00003856846,0.00000979903,0.00003675734,0.000008513411,0.00003490162,0.00002681204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5030178,"threshold_uncertainty_score":0.6574859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004601384709309968,"score_gpt":0.1891763527638692,"score_spread":0.1845749680545592,"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."}}