{"id":"W4327972251","doi":"10.1016/j.epsr.2023.109316","title":"Modeling of MMC-based STATCOM with embedded energy storage for the simulation of electromagnetic transients","year":2023,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Interfacing; Emtp; Energy storage; Transient (computer programming); Modular design; Supercapacitor; Electronic engineering; Embedding; Energy (signal processing); Modeling and simulation; Computer science; Engineering; Topology (electrical circuits); Electrical engineering; Power (physics); Electric power system; Capacitance; Simulation; Physics; Computer hardware","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":[0.0001964857,0.0006173868,0.0006286956,0.0004383277,0.0003960076,0.0007544696,0.001096042,0.001148425,0.004912049],"category_scores_gemma":[0.0004394547,0.0002910275,0.0005540742,0.0004464728,0.0003355244,0.000643723,0.000370537,0.000619036,0.0006448741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005651766,"about_ca_system_score_gemma":0.0006533508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240097,"about_ca_topic_score_gemma":0.008677143,"domain_scores_codex":[0.9998875,0.00003928369,0.000006485448,0.00001721611,0.00003286234,0.00001674158],"domain_scores_gemma":[0.9997939,0.00008707043,0.00002338272,0.00001922885,0.00006269947,0.00001367048],"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":[0.00002908623,0.00001699636,0.0002615211,0.00002542165,0.00001156156,0.00004579757,0.00001334033,0.9955204,0.001090569,0.001159322,0.0002403405,0.001585672],"study_design_scores_gemma":[0.000003328401,0.000007888636,0.00007426928,0.000001869276,0.000002795931,0.000004427191,0.000002577398,0.9993436,0.0002545088,0.0001607546,0.0001427161,0.000001252216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.350976,0.001013036,0.562338,0.0007134816,0.0002659438,0.0002523442,0.001786901,0.003364829,0.07928953],"genre_scores_gemma":[0.9891075,0.0001481705,0.005473051,0.00003963917,0.00001704274,0.0000872448,0.0001920135,0.00007014945,0.004865087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01240097,"threshold_uncertainty_score":0.02465755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715850961141931,"score_gpt":0.3064840341973257,"score_spread":0.2693255245859064,"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."}}