{"id":"W4387614838","doi":"10.3390/en16207080","title":"Centralized Protection of Networked Microgrids with Multi-Technology DERs","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"RTDS Technologies (Canada); University of Manitoba","funders":"Mitacs","keywords":"IEC 61850; Fault (geology); Grid; Distributed generation; Power-system protection; Electric power system; Computer science; Wind power; Engineering; Network topology; Distributed computing; Reliability engineering; Power (physics); Renewable energy; Electrical engineering; Computer network; Automation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006207587,0.00009781864,0.0001376534,0.0002385052,0.00002971016,0.000007848276,0.00007233964,0.00009896749,0.000006350221],"category_scores_gemma":[0.000007818036,0.00008846317,0.00002632381,0.0005699355,0.0000409849,0.00005954038,0.00001371652,0.0000844649,0.00002947784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003718734,"about_ca_system_score_gemma":0.000006882095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000830588,"about_ca_topic_score_gemma":0.00009873873,"domain_scores_codex":[0.9994576,0.00001548336,0.0001410564,0.0001053765,0.00007673896,0.0002037397],"domain_scores_gemma":[0.9997616,0.000008568908,0.00003144406,0.0001538723,0.00002586737,0.00001868253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004400273,0.00001581966,0.00123344,0.0001736392,0.0001571799,0.0000118405,0.0003955232,0.6526731,0.3153742,0.0000722755,0.001075354,0.02877356],"study_design_scores_gemma":[0.001485666,0.0001328927,0.003323202,0.0001345257,0.00002635335,0.00003691708,0.0008301736,0.156717,0.7893893,0.00004250843,0.04754112,0.0003403411],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821551,0.0003233145,0.01461573,0.00003580387,0.0006329197,0.0001878639,0.000002094619,0.001940574,0.0001065836],"genre_scores_gemma":[0.9986685,0.00005504164,0.0008929152,0.000001283629,0.00003679868,0.00008933296,0.000003879146,0.00002968472,0.0002225607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4959561,"threshold_uncertainty_score":0.3607423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120434331631933,"score_gpt":0.2018302225908897,"score_spread":0.1906258792745703,"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."}}