{"id":"W4323052068","doi":"10.1016/j.epsr.2023.109253","title":"Feasibility study of incorporating static compensators in distribution networks containing distributed generation considering system power factor","year":2023,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Distributed generation; Mathematical optimization; Reliability engineering; Power (physics); Distribution (mathematics); Computer science; Electric power system; Control theory (sociology); Operator (biology); Engineering; Renewable energy; Mathematics; Electrical engineering","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":[0.0009971689,0.0005744403,0.0003476701,0.0003101034,0.0003536275,0.0006177112,0.0007267673,0.0006331924,0.00477874],"category_scores_gemma":[0.002486727,0.0002184567,0.0003026114,0.0002789292,0.0003149672,0.001090426,0.0002819478,0.0003614599,0.0002122068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00041664,"about_ca_system_score_gemma":0.0007363633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002503258,"about_ca_topic_score_gemma":0.002667085,"domain_scores_codex":[0.9996737,0.0001854143,0.000006751971,0.00004293372,0.00006212971,0.00002901303],"domain_scores_gemma":[0.9987645,0.0008448636,0.00005642238,0.00004782686,0.0002438173,0.0000425166],"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":[0.003081687,0.0007424277,0.00562161,0.0005118414,0.00007668519,0.001439002,0.0001342679,0.869987,0.03681962,0.02639273,0.00139555,0.05379762],"study_design_scores_gemma":[0.00009329073,0.001006364,0.0008296805,0.00001611207,0.00005125143,0.00008964395,0.00009368507,0.9903425,0.004388838,0.002378196,0.0007015031,0.000008944825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6892551,0.0002802919,0.2746545,0.0004245338,0.00007372558,0.0003926374,0.0001574918,0.0001688664,0.03459275],"genre_scores_gemma":[0.9870595,0.00005382884,0.01159468,0.000008833798,0.000008421202,0.00002472871,0.00003134163,0.000006045047,0.001212538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00477874,"threshold_uncertainty_score":0.0159865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07463251145664154,"score_gpt":0.3263643370148186,"score_spread":0.2517318255581771,"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."}}