{"id":"W4238530359","doi":"10.1109/pesgm46819.2021.9637998","title":"Online Application of Local OOS Protection and Graph Theory for Controlled Islanding","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Islanding Detection in Power Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Islanding; Electric power system; Computer science; Real Time Digital Simulator; Computation; IEC 61850; Relay; Power-system protection; Circuit breaker; Protective relay; Generator (circuit theory); Network topology; Fault (geology); Topology (electrical circuits); Real-time computing; Engineering; Power (physics); Computer network; Electrical engineering; Algorithm","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":[0.0002771946,0.0003966796,0.0002917247,0.0004751683,0.0001851189,0.0004318719,0.0005498433,0.0002285391,0.00259181],"category_scores_gemma":[0.001230274,0.0001235853,0.0002865318,0.0002776553,0.0004859322,0.0006655868,0.0004706832,0.0004002784,0.0001837881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004695815,"about_ca_system_score_gemma":0.0003454107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003561125,"about_ca_topic_score_gemma":0.002905052,"domain_scores_codex":[0.9997883,0.00007422096,0.000006391651,0.00004186172,0.00006983534,0.00001929092],"domain_scores_gemma":[0.9994861,0.0002701269,0.00005814159,0.0001015431,0.00005894409,0.00002503468],"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":[0.0001132368,0.00008815627,0.0008764513,0.0001066272,0.00002433735,0.00009190488,0.00008604927,0.8842404,0.01247102,0.02878594,0.0009481851,0.07216771],"study_design_scores_gemma":[0.000007367929,0.00003248568,0.000172207,0.000002135617,0.000003164586,0.00000971233,0.000008092637,0.993212,0.001740659,0.004418741,0.0003903795,0.000003104792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08866942,0.0001244932,0.8999983,0.00009425245,0.00003867597,0.00007786087,0.00008559486,0.002259018,0.008652346],"genre_scores_gemma":[0.9204425,0.00007267285,0.07765929,0.00002257683,0.000008713803,0.00003933469,0.00008504731,0.0001213502,0.001548528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003561125,"threshold_uncertainty_score":0.008670509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094412164801589,"score_gpt":0.2276908674215989,"score_spread":0.216746745773583,"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."}}