{"id":"W2103612649","doi":"10.1109/tpel.2010.2050006","title":"A Control Strategy for a Distributed Power Generation Microgrid Application With Voltage- and Current-Controlled Source Converter","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":204,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Schneider Electric (Canada)","funders":"","keywords":"Microgrid; Photovoltaic system; Backup; Distributed generation; Renewable energy; Engineering; Grid; Electrical engineering; Power (physics); Battery (electricity); Computer science; Electronic engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001194172,0.0002863665,0.000311775,0.0001089506,0.0001739988,0.0001126899,0.00009494911,0.0001550771,0.00003737492],"category_scores_gemma":[0.000002836581,0.0002548913,0.0001053349,0.0001467611,0.00004505213,0.0001729072,3.989095e-7,0.0004475459,0.000007346923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006593065,"about_ca_system_score_gemma":0.0000670364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004518336,"about_ca_topic_score_gemma":0.0001537803,"domain_scores_codex":[0.9988675,0.00001820898,0.0002641571,0.0003162122,0.0001246244,0.0004092982],"domain_scores_gemma":[0.9993725,0.00006530183,0.00006827918,0.0002447477,0.000147337,0.0001017864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001870433,0.0004618576,0.00002063081,0.00004962056,0.0006064937,0.000001013829,0.0002044344,0.3178134,0.4688976,0.0006207387,0.0006601398,0.2087937],"study_design_scores_gemma":[0.01163511,0.0004414667,0.00002123214,0.000008245875,0.0001991795,0.00002433129,0.00001375463,0.942019,0.0221893,0.00003438894,0.02300822,0.000405789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04821425,0.0008409965,0.948684,0.00007570803,0.000344781,0.001416077,0.0001644006,0.0002469695,0.00001281488],"genre_scores_gemma":[0.9984276,0.0002114404,0.0003786109,0.00006391892,0.00005810501,0.0006911298,0.00008415424,0.00006125164,0.00002377285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9502134,"threshold_uncertainty_score":0.9999903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003787269148982051,"score_gpt":0.1955636778146736,"score_spread":0.1917764086656916,"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."}}