{"id":"W2778898627","doi":"10.22098/joape.2017.3007.1251","title":"Adaptive Observer-Based Decentralized Scheme for Robust Nonlinear Power Flow Control Using HPFC","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Lyapunov function; Robustness (evolution); Unified power flow controller; Nonlinear system; Adaptive control; Mathematics; Settling time; Electric power system; Computer science; Control engineering; Engineering; Power (physics); Power flow; Step response","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":[0.000384774,0.0003546946,0.0004686505,0.0001466626,0.0002869701,0.0004346386,0.0008421463,0.000493048,0.001098657],"category_scores_gemma":[0.0005232604,0.0001441875,0.0002619927,0.0001598599,0.0003406605,0.0004673481,0.0003451593,0.000667164,0.0001576081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003646046,"about_ca_system_score_gemma":0.000497882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003041017,"about_ca_topic_score_gemma":0.003144403,"domain_scores_codex":[0.9997645,0.00004171399,0.00001482552,0.00006488094,0.00009169664,0.00002251903],"domain_scores_gemma":[0.9997615,0.00005522607,0.00005231607,0.00003481617,0.00008565238,0.00001040477],"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":[0.0003785085,0.0001750552,0.001022939,0.0003418201,0.0001051271,0.0003314442,0.0002832447,0.6399875,0.1030938,0.01678947,0.001945323,0.2355457],"study_design_scores_gemma":[0.00003516497,0.0001420896,0.0002295267,0.000004347165,0.00001232863,0.00003917994,0.000006695524,0.9932961,0.004675739,0.0006751652,0.000875978,0.000007648088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03499672,0.0001756072,0.9614936,0.00007763143,0.00006673796,0.00004937247,0.00002011853,0.0004493753,0.002670845],"genre_scores_gemma":[0.9590192,0.0001013046,0.03906379,0.00002905501,0.00003826234,0.00007692219,0.00004432275,0.00000992755,0.00161723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003041017,"threshold_uncertainty_score":0.006046653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3328286301871203,"score_gpt":0.5147852184884841,"score_spread":0.1819565883013639,"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."}}