{"id":"W2999154371","doi":"10.1016/j.epsr.2019.106188","title":"Impedance sensitivity-based corrective method for online voltage control in smart distribution grids","year":2020,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Thévenin's theorem; Sensitivity (control systems); Control theory (sociology); Voltage; Electrical impedance; Control variable; Grid; Engineering; Smart grid; Computer science; Electronic engineering; Control (management); Mathematics; Electrical engineering; Equivalent circuit","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":[0.0004880802,0.0005576834,0.0005971768,0.0003295581,0.0002582513,0.0005463361,0.0004508409,0.0004632019,0.002317639],"category_scores_gemma":[0.001574863,0.0002311311,0.0002807308,0.000244542,0.0003463023,0.0005519725,0.0004608677,0.00080005,0.0002164708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003510152,"about_ca_system_score_gemma":0.000462058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001826518,"about_ca_topic_score_gemma":0.00204687,"domain_scores_codex":[0.9997465,0.00006483066,0.00001360413,0.00005224424,0.00009893275,0.00002394145],"domain_scores_gemma":[0.9994532,0.0003034115,0.0000532563,0.00003467748,0.0001359837,0.00001944462],"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":[0.0004777611,0.0001783716,0.0005862954,0.0002589274,0.00006381817,0.000132486,0.0001686583,0.5752515,0.04831681,0.0157547,0.002565191,0.3562455],"study_design_scores_gemma":[0.000006783319,0.00003432078,0.000116382,0.000004921955,0.000006478617,0.00001554526,0.000003340438,0.9967123,0.001902998,0.0009091478,0.0002826263,0.000005170704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01038778,0.0001383968,0.9877078,0.00006012275,0.00005977464,0.00001879605,0.00001020153,0.0003462896,0.001270836],"genre_scores_gemma":[0.9095875,0.0001434294,0.08784147,0.0000747711,0.00004522395,0.00003845805,0.00002933657,0.00006203071,0.002177825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002317639,"threshold_uncertainty_score":0.007753253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941632389766405,"score_gpt":0.3259164412495973,"score_spread":0.2965001173519332,"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."}}