{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002446085,0.0004519538,0.0003686947,0.0002324243,0.0002745316,0.0008811346,0.0006308195,0.0002241053,0.001942897],"category_scores_gemma":[0.0003949058,0.0001578039,0.0001591394,0.0002863033,0.000282885,0.0004292795,0.0004228294,0.0004289849,0.0003173944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002924867,"about_ca_system_score_gemma":0.0002907784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001950098,"about_ca_topic_score_gemma":0.002408642,"domain_scores_codex":[0.9998655,0.00002614376,0.000009672205,0.00003730022,0.00004417403,0.0000170739],"domain_scores_gemma":[0.9998655,0.00002892096,0.00003007338,0.00001950588,0.00004589519,0.0000100525],"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":[0.0002806931,0.0001741427,0.00124231,0.000381831,0.00009529794,0.0004309129,0.0002586894,0.7406808,0.04310013,0.02402903,0.004743128,0.1845831],"study_design_scores_gemma":[0.00003972599,0.0001235533,0.000429071,0.00001278611,0.00001670715,0.00007077793,0.00003964198,0.983515,0.005063681,0.006619279,0.004059385,0.000010342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1463824,0.0009297865,0.8164885,0.0003949408,0.0002713084,0.0001522303,0.0002072542,0.001632908,0.03354064],"genre_scores_gemma":[0.9834855,0.0002615696,0.01240907,0.00003254955,0.00004058282,0.00004395893,0.00004439812,0.00002348451,0.003658976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001950098,"threshold_uncertainty_score":0.006499648,"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."}}