{"id":"W4292388489","doi":"10.1109/eeeic/icpseurope54979.2022.9854757","title":"Operation of MMC-Based VSC-HVDC System Under Geomagnetic Disturbance","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&amp;CPS Europe)","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"AC power; Harmonics; Transformer; Geomagnetically induced current; Control theory (sociology); Harmonic analysis; Power factor; Grid; Emtp; Computer science; Electronic engineering; Voltage; Engineering; Electrical engineering; Electric power system; Geomagnetic storm; Power (physics); Physics; Mathematics; Control (management); Earth's magnetic field","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004553604,0.0003655665,0.0004408845,0.0002332431,0.0002438982,0.0001408086,0.0002412164,0.000122874,0.0001097549],"category_scores_gemma":[0.00002759248,0.0003633781,0.00005944237,0.000277914,0.00005906025,0.0001116495,0.00008106292,0.0007433509,0.00001727998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001686858,"about_ca_system_score_gemma":0.00002861506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001411152,"about_ca_topic_score_gemma":0.000003772451,"domain_scores_codex":[0.9977579,0.0002257354,0.0006248782,0.0004741606,0.0005927933,0.0003245226],"domain_scores_gemma":[0.9993289,0.0000900964,0.0001386374,0.000235145,0.00004109153,0.0001661077],"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":[0.0008803851,0.0004808768,0.002243248,0.0004747384,0.0005864679,0.00008139353,0.0008236287,0.8194112,0.1364304,0.0157407,0.007940964,0.01490601],"study_design_scores_gemma":[0.004032671,0.001815494,0.00519564,0.0003904269,0.0001488098,0.0002495195,0.0002611951,0.6529341,0.00100245,0.0000116364,0.3323397,0.001618364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968299,0.00160901,0.02036141,0.0002797546,0.005505939,0.000951284,0.0001856743,0.0002564467,0.002551479],"genre_scores_gemma":[0.9978252,0.0003694468,0.00001777956,0.00004205616,0.0003366825,0.0001248058,0.00005069383,0.00005988689,0.001173415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3243988,"threshold_uncertainty_score":0.9998818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03605798203367589,"score_gpt":0.2161286580651971,"score_spread":0.1800706760315212,"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."}}