{"id":"W2964664295","doi":"10.1109/compel.2019.8769713","title":"Improving Active-power Transfer Capacity of Virtual Synchronous Generator in Weak Grid","year":2019,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Microgrid; Permanent magnet synchronous generator; Grid; Maximum power transfer theorem; AC power; Computer science; Controller (irrigation); Control theory (sociology); Electric power system; Generator (circuit theory); Renewable energy; Power (physics); Voltage; Engineering; Electrical engineering; Control (management); 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":[0.000390193,0.0004673436,0.0004557136,0.0004192476,0.0002502936,0.0006068766,0.0004868755,0.0003038316,0.001246448],"category_scores_gemma":[0.001203436,0.000113883,0.0001670765,0.0002544017,0.0004176268,0.00100865,0.0005560733,0.000266441,0.000186254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002811926,"about_ca_system_score_gemma":0.0002088719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006206568,"about_ca_topic_score_gemma":0.0005672181,"domain_scores_codex":[0.9998394,0.00005542507,0.00001245987,0.00002179537,0.00003650846,0.00003435669],"domain_scores_gemma":[0.9994788,0.0002323899,0.0000866785,0.00006871353,0.00009610444,0.00003736014],"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":[0.0007301551,0.0002159436,0.006180018,0.0002891422,0.00006930987,0.0005046278,0.0001642225,0.8045442,0.1094508,0.01001828,0.001185499,0.06664789],"study_design_scores_gemma":[0.00006002389,0.0004763174,0.001930571,0.00001692103,0.00003944385,0.00008805852,0.00005984156,0.9518493,0.03860154,0.005469673,0.001391349,0.00001694089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8402715,0.0004013553,0.1516015,0.0002622526,0.00005397826,0.00004354662,0.00009257064,0.000710215,0.006563168],"genre_scores_gemma":[0.9985554,0.00003296609,0.001254793,0.000005879613,0.00000270122,0.000005018013,0.000008649818,0.000005539358,0.0001290213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001246448,"threshold_uncertainty_score":0.004169822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003189207622781179,"score_gpt":0.1553674033310347,"score_spread":0.1521781957082535,"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."}}