{"id":"W4405440156","doi":"10.1109/tec.2024.3519490","title":"Robust Distributed Secondary Control for DC Microgrids Enhancing Stability and Communication Delay Tolerance","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Stability (learning theory); Control (management); Robustness (evolution); Computer science; Control engineering; Engineering; Chemistry","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":[0.0001446149,0.000171886,0.0001766489,0.00009411317,0.0001940782,0.00007700008,0.00008821899,0.0001237521,0.0000988078],"category_scores_gemma":[0.00000200972,0.0001790627,0.00009589934,0.0001528061,0.00004720473,0.0002604894,0.000001056395,0.0001843888,0.000004366499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001266618,"about_ca_system_score_gemma":0.00002996108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004232102,"about_ca_topic_score_gemma":0.00009565362,"domain_scores_codex":[0.9992146,0.00004212294,0.0002367278,0.0002374364,0.00007668144,0.0001924372],"domain_scores_gemma":[0.9994112,0.0002122654,0.00002027357,0.0002212136,0.00006565735,0.00006945161],"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":[0.0001770088,0.00005997756,0.000004457772,0.0003049329,0.0001574599,0.000002228901,0.0002395479,0.8586898,0.06675883,0.0001071098,0.0005079021,0.07299078],"study_design_scores_gemma":[0.0009869622,0.0000536311,0.00001413255,0.00008159287,0.00007796223,0.000006515192,0.0000522899,0.8380235,0.1505961,0.00003206677,0.00988836,0.0001868928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0186929,0.00354756,0.9759827,0.0001599337,0.0006545563,0.0001977793,0.0003272586,0.0003880216,0.00004926641],"genre_scores_gemma":[0.9966102,0.00158144,0.001433902,0.00008313807,0.0000384436,0.00008483959,0.0001007489,0.00003175283,0.00003559408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9779173,"threshold_uncertainty_score":0.7301964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007274812150124782,"score_gpt":0.1820856997476364,"score_spread":0.1748108875975116,"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."}}