{"id":"W4416136701","doi":"10.1109/pesgm52009.2025.11225310","title":"Replacing Grid-Following VSCs with Grid-Forming VSCs: Tolerance Against Measurement Errors","year":2025,"lang":"","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Converters; Control theory (sociology); Stability (learning theory); Voltage; Power (physics); Observational error; Control (management); Control system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001587132,0.0007203783,0.0007226095,0.0003297287,0.0003923439,0.0009760788,0.001130697,0.0007022912,0.0009203939],"category_scores_gemma":[0.005474688,0.000213981,0.0003034949,0.0004017753,0.0004627628,0.001007144,0.00081514,0.0008370333,0.0002066728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004857352,"about_ca_system_score_gemma":0.0004747174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003339579,"about_ca_topic_score_gemma":0.002445933,"domain_scores_codex":[0.9986676,0.0005080742,0.00008418176,0.0002073325,0.0003838128,0.0001490372],"domain_scores_gemma":[0.9971963,0.0009741301,0.0004789669,0.0008068823,0.0004800081,0.00006373898],"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":[0.0009035074,0.0001315405,0.0078144,0.0002272404,0.0001038882,0.0004098394,0.0002811356,0.866302,0.02371442,0.003347694,0.0006261583,0.09613826],"study_design_scores_gemma":[0.00004916714,0.0007056626,0.003641891,0.00004769289,0.00006358757,0.0002925801,0.0001523564,0.9642742,0.02613496,0.002136128,0.002472008,0.00002981495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5964838,0.0007639513,0.3954542,0.0003550921,0.0001428695,0.00009290267,0.00008071531,0.001501408,0.005125079],"genre_scores_gemma":[0.9941479,0.00003680196,0.005556883,0.00001490228,0.000004828987,0.000007353656,0.00001396909,0.000015881,0.0002014848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003339579,"threshold_uncertainty_score":0.008393705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00770663594469816,"score_gpt":0.1968640225922607,"score_spread":0.1891573866475626,"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."}}