{"id":"W2135379734","doi":"10.1109/tpwrs.2008.922232","title":"Control and Power Management of Converter Fed Microgrids","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":485,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microgrid; Voltage droop; Control theory (sociology); AC power; Converters; Voltage source; Automatic frequency control; Voltage regulation; Controller (irrigation); Voltage; Power control; Engineering; Voltage optimisation; Computer science; Power (physics); Control (management); Electrical engineering; Physics","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":[0.00006260522,0.0001565503,0.0002414732,0.0001058987,0.00006804775,0.00001820916,0.00006960156,0.00007768502,0.00005431469],"category_scores_gemma":[1.67871e-7,0.0001496669,0.00007247401,0.0001054096,0.00004342289,0.0000872884,4.092918e-7,0.00009298933,0.00002975224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003044991,"about_ca_system_score_gemma":0.000005362162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001966443,"about_ca_topic_score_gemma":0.000001694692,"domain_scores_codex":[0.9992374,0.00002380966,0.0002856443,0.0001514684,0.0001276256,0.0001740103],"domain_scores_gemma":[0.9996471,0.00002078884,0.0000336565,0.0001935455,0.00004284023,0.00006209776],"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":[0.001169793,0.001211335,0.0005306352,0.002177818,0.006482431,0.0003176008,0.006241794,0.8936279,0.06171939,0.0006405181,0.0119332,0.01394755],"study_design_scores_gemma":[0.02539781,0.001472545,0.004505577,0.001081062,0.0008835715,0.0008894395,0.001685645,0.8768414,0.02624351,0.00001379142,0.05838947,0.002596227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03253212,0.001606788,0.9621755,0.00002350286,0.001602314,0.0004548327,0.00005583489,0.0001776914,0.001371347],"genre_scores_gemma":[0.998976,0.0004402332,0.0001536638,0.00002990905,0.000005595405,0.0000485232,0.000001337085,0.00002808967,0.0003166449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9664439,"threshold_uncertainty_score":0.6103238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005001799427319558,"score_gpt":0.1710873726584513,"score_spread":0.1660855732311317,"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."}}