{"id":"W2600304160","doi":"10.1109/tpel.2017.2685423","title":"Detailed Device-Level Electrothermal Modeling of the Proactive Hybrid HVDC Breaker for Real-Time Hardware-in-the-Loop Simulation of DC Grids","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Emulation; Field-programmable gate array; Insulated-gate bipolar transistor; Hardware-in-the-loop simulation; Gate array; Computer science; Circuit breaker; Electronic engineering; Engineering; Voltage; Embedded system; Electrical engineering","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":[0.0001074934,0.0005010549,0.0003951026,0.0001988442,0.0003193019,0.0005901792,0.0008054517,0.0006629409,0.002889872],"category_scores_gemma":[0.0002616981,0.0002937034,0.0004974607,0.0002451251,0.0003313036,0.0006395126,0.0003135647,0.0004762003,0.0004556997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005074631,"about_ca_system_score_gemma":0.0005586061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005346739,"about_ca_topic_score_gemma":0.004118062,"domain_scores_codex":[0.9999356,0.00001419319,0.000002225905,0.00001210081,0.00002475354,0.00001097826],"domain_scores_gemma":[0.9999163,0.00003028964,0.00001377999,0.00001547533,0.00001749923,0.000006611712],"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":[0.00001293859,0.000009175656,0.0002242804,0.00001821287,0.000006139452,0.00004222082,0.00002255213,0.9931376,0.002912302,0.001821638,0.0001757216,0.001617278],"study_design_scores_gemma":[0.000002624492,0.000007876417,0.0000868168,0.000001602363,0.000002161848,0.000006104688,0.000004657526,0.9988496,0.0004264036,0.000238295,0.0003721718,0.000001626426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1962289,0.0003855563,0.7594872,0.0003019678,0.00007680498,0.0001438883,0.0006305806,0.001605318,0.04113979],"genre_scores_gemma":[0.966989,0.0002311504,0.02380688,0.00005543415,0.00001451829,0.0001610509,0.0002011188,0.0001004909,0.008440378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005346739,"threshold_uncertainty_score":0.01063126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085512871810713,"score_gpt":0.2565437826333066,"score_spread":0.2356886539151994,"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."}}