{"id":"W4386472810","doi":"10.1109/tpwrs.2023.3312406","title":"Optimized Unsymmetrical Per-Phase Droop for Soft Line Switching of Reconfigurable Unbalanced Inverter-Based Islanded Microgrid","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; York University","funders":"ASPIRE; Khalifa University of Science, Technology and Research; Advanced Technology Research Council","keywords":"Voltage droop; Microgrid; Control reconfiguration; Control theory (sociology); Inverter; Transient (computer programming); MATLAB; Power (physics); Line (geometry); Reliability (semiconductor); Voltage; Process (computing); Computer science; Engineering; Three-phase; Control (management); Voltage source; Electrical engineering; Mathematics","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":[0.0002964544,0.0002608921,0.000515383,0.0005494051,0.0001269891,0.00006524019,0.0001690939,0.0001816266,0.00005536194],"category_scores_gemma":[0.00001196912,0.0002543164,0.0002463636,0.0007270917,0.00001634765,0.000121178,4.767606e-7,0.0002012472,0.00004754655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008608098,"about_ca_system_score_gemma":0.00004641612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004110086,"about_ca_topic_score_gemma":0.000008642397,"domain_scores_codex":[0.998484,0.00005097278,0.000611131,0.0002838936,0.0001885591,0.0003815081],"domain_scores_gemma":[0.9990697,0.0002764901,0.00009623265,0.0003106707,0.0001375096,0.0001094217],"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":[0.000270691,0.0001381781,0.000001477274,0.000216743,0.000146435,0.000002392347,0.0001542499,0.9309309,0.06254166,0.00000348908,0.0009080228,0.004685828],"study_design_scores_gemma":[0.005727368,0.0002801131,0.000001591199,0.0001250113,0.00007073081,0.000005189452,0.00008607,0.9369644,0.0545626,0.000004627079,0.001915889,0.000256415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009018951,0.0004028596,0.9861509,0.00007506434,0.002458802,0.000858027,0.0002399478,0.0006517862,0.0001436234],"genre_scores_gemma":[0.998048,0.000119312,0.00118219,0.00003606268,0.00003394823,0.0002638797,0.00005080534,0.00007582301,0.0001900001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.989029,"threshold_uncertainty_score":0.9999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161012611397369,"score_gpt":0.245926051992567,"score_spread":0.2298247908528301,"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."}}