{"id":"W2168333859","doi":"10.1109/ccece.2008.4564558","title":"Optimal PMU placement for power system observability considering secondary voltage control","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observability; Phasor; Control theory (sociology); Electric power system; Constraint (computer-aided design); Transformation (genetics); Phasor measurement unit; Mathematical optimization; Computer science; Topology (electrical circuits); Power (physics); Engineering; Mathematics; Control (management); Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002948365,0.0007788126,0.0008138372,0.0003067515,0.0004326515,0.0004442256,0.000464731,0.0004834482,0.001597356],"category_scores_gemma":[0.001608108,0.0002927712,0.0002690351,0.0003368746,0.0003172788,0.0004374758,0.0004037353,0.0004598053,0.0002106116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003898084,"about_ca_system_score_gemma":0.0007890271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001891291,"about_ca_topic_score_gemma":0.001941075,"domain_scores_codex":[0.9997125,0.00008993674,0.00001154468,0.00006211962,0.00008705263,0.00003681076],"domain_scores_gemma":[0.9995759,0.0002261602,0.00007918516,0.00003179332,0.00006303212,0.00002384452],"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":[0.0001124248,0.00004890571,0.0004035972,0.00006978893,0.00001220348,0.00008047724,0.00005543862,0.8974993,0.008021836,0.007871347,0.0007924867,0.08503222],"study_design_scores_gemma":[0.00001611697,0.00005059304,0.000107756,0.000003358507,0.000003521014,0.00002409407,0.000008330828,0.9952519,0.001639495,0.002519188,0.0003730783,0.000002577091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01518415,0.00005865492,0.9830912,0.00004010158,0.00001562773,0.00002202456,0.00001418415,0.0001715809,0.001402464],"genre_scores_gemma":[0.7611815,0.00008548925,0.2371577,0.00002502623,0.00003511973,0.00008649631,0.00004911487,0.00005102615,0.001328488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001891291,"threshold_uncertainty_score":0.005343676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504908400709812,"score_gpt":0.1802971310862267,"score_spread":0.1652480470791286,"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."}}