{"id":"W4404202555","doi":"10.1007/s42452-024-06301-6","title":"Security constrained optimal power flow solution for practical transmission grid using hybrid use of generating plant and network restructuring","year":2024,"lang":"en","type":"article","venue":"Discover Applied Sciences","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovaderm (Canada)","funders":"","keywords":"Restructuring; Power flow; Computer science; Grid; Flow (mathematics); Transmission (telecommunications); Transmission network; Power (physics); Flow network; Distributed computing; Mathematical optimization; Electric power system; Mathematics; Telecommunications; Business","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":[0.0004414826,0.0005022828,0.0005129412,0.0003847545,0.0003058926,0.0006268925,0.0003337815,0.0005752424,0.001171944],"category_scores_gemma":[0.0009706199,0.0002877676,0.0003863563,0.000440532,0.0003950719,0.0006205515,0.0003524855,0.0004130471,0.00006487456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005106856,"about_ca_system_score_gemma":0.000785136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005637635,"about_ca_topic_score_gemma":0.005214174,"domain_scores_codex":[0.9998286,0.00007599288,0.000004973259,0.00002880362,0.00003507292,0.00002658279],"domain_scores_gemma":[0.9997383,0.0001715873,0.00003399089,0.00001129758,0.00003385531,0.00001099313],"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":[0.00001639987,0.00001206301,0.0002723908,0.00001815434,0.000007162312,0.0000407461,0.00001097908,0.9928977,0.0004176855,0.001780179,0.00008129337,0.004445199],"study_design_scores_gemma":[0.000004378588,0.00002453477,0.00009754384,0.000002297346,0.000003163834,0.00001038799,0.00001140059,0.9984838,0.0001269298,0.001102048,0.0001321864,0.000001320437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2122724,0.0004404058,0.7745498,0.0003186693,0.00002871872,0.000112248,0.00007128411,0.0001025214,0.01210403],"genre_scores_gemma":[0.9530409,0.0001932129,0.04508576,0.00001741205,0.00001085034,0.00005991465,0.00004013911,0.00001530408,0.001536526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005637635,"threshold_uncertainty_score":0.01120967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588914949919747,"score_gpt":0.2665745680580181,"score_spread":0.2406854185588206,"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."}}