{"id":"W4321380632","doi":"10.1109/tpwrd.2023.3246719","title":"Controlling Grid-Forming Inverters to Meet the Negative-Sequence Current Requirements of the IEEE Standard 2800-2022","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Inverter; Fault (geology); Engineering; Low voltage ride through; Benchmark (surveying); Grid; Voltage; Limit (mathematics); Low voltage; Computer science; 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":[0.0002376328,0.0003564716,0.0002066519,0.0001814351,0.0001928342,0.0005354168,0.0006522472,0.0001888907,0.001202915],"category_scores_gemma":[0.0005413817,0.00006262355,0.0001035583,0.0002202604,0.0002116919,0.0002731823,0.0002477591,0.0002798924,0.0003292585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002790273,"about_ca_system_score_gemma":0.000297033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098179,"about_ca_topic_score_gemma":0.002176843,"domain_scores_codex":[0.9998189,0.00003032328,0.00001540339,0.00003328062,0.00008155474,0.00002064534],"domain_scores_gemma":[0.999836,0.00002632598,0.00005252589,0.00002629714,0.00005140783,0.000007404848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004702091,0.0004839198,0.004963796,0.0005330372,0.00004178113,0.000241099,0.0006600839,0.2470987,0.3274314,0.03338725,0.006775176,0.3779136],"study_design_scores_gemma":[0.0001802738,0.0006157909,0.002639952,0.00002861107,0.0000367024,0.0002028828,0.0000603887,0.8728187,0.09784798,0.004229459,0.02131689,0.00002242332],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1699472,0.0001847589,0.8019499,0.0001001393,0.0001039869,0.0002689101,0.0001048244,0.002643408,0.02469696],"genre_scores_gemma":[0.9644647,0.00007612491,0.03367568,0.00003640915,0.00001560013,0.00007068511,0.00004912046,0.00002835274,0.001583288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001202915,"threshold_uncertainty_score":0.004024148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264082229401772,"score_gpt":0.2431019801105318,"score_spread":0.2204611578165141,"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."}}