{"id":"W3090464646","doi":"10.1109/tsg.2020.3028472","title":"Frequency Regulation in Isolated Microgrids Through Optimal Droop Gain and Voltage Control","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; King Abdulaziz University","keywords":"Voltage droop; Setpoint; Control theory (sociology); Microgrid; AC power; Automatic frequency control; Controller (irrigation); Sensitivity (control systems); Engineering; Voltage; Voltage regulation; Electric power system; Distributed generation; Benchmark (surveying); Power control; Power (physics); Voltage regulator; Computer science; Electronic engineering; Control (management)","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":[0.00007254515,0.0002123746,0.0002446974,0.00009337287,0.00008174477,0.00004892675,0.00007884388,0.0001400015,0.0001256511],"category_scores_gemma":[0.000003779259,0.0002302574,0.00006944202,0.0003276386,0.00003549988,0.0003134064,6.29124e-7,0.0002945466,0.00003968583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004539619,"about_ca_system_score_gemma":0.00001493938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005390615,"about_ca_topic_score_gemma":0.0000563629,"domain_scores_codex":[0.9990119,0.00003528242,0.0003281308,0.0002624901,0.0001064224,0.0002557758],"domain_scores_gemma":[0.9996569,0.000045334,0.00003063106,0.0001369428,0.00003810427,0.00009208081],"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":[0.00009830752,0.0000453272,0.0001195926,0.000038289,0.00005764318,0.000009232877,0.0006191142,0.9194694,0.07395405,0.00001384872,0.0002708545,0.005304312],"study_design_scores_gemma":[0.002418646,0.0001429102,0.0005083054,0.00003371542,0.00005294369,0.0000105916,0.00004296276,0.9800899,0.01514741,0.00003588378,0.001205533,0.0003111768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03879688,0.0005352155,0.9587665,0.0004386935,0.0005245204,0.0003518658,0.00008449998,0.0003306101,0.0001712103],"genre_scores_gemma":[0.9971101,0.00037009,0.001950255,0.0003146047,0.0001292263,0.00004422352,0.00001825205,0.00004193796,0.0000213307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9583132,"threshold_uncertainty_score":0.9389623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007952828808108396,"score_gpt":0.1887958930089449,"score_spread":0.1808430642008365,"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."}}