{"id":"W4407507512","doi":"10.1109/ojpel.2025.3541008","title":"Impedance-Based Stability Analysis of a Low-Inertia AC Grid Connected to a DC Grid by a VSC With Virtual Inertia Controllers","year":2025,"lang":"en","type":"article","venue":"IEEE Open Journal of Power Electronics","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inertia; Grid; Electrical impedance; Stability (learning theory); Control theory (sociology); Computer science; Engineering; Electrical engineering; Physics; Mathematics; Control (management); Artificial intelligence","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":[0.0002863363,0.0006355558,0.0004888675,0.0005345533,0.0003861508,0.001087382,0.0005104574,0.0005112045,0.002695779],"category_scores_gemma":[0.0007245654,0.0001539831,0.0005242092,0.0003380661,0.0006398576,0.0004922466,0.0004792726,0.0005374895,0.0004575405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007661544,"about_ca_system_score_gemma":0.0004783127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005898063,"about_ca_topic_score_gemma":0.00220478,"domain_scores_codex":[0.9997337,0.00008505603,0.00001232117,0.00004489287,0.00009951211,0.00002453764],"domain_scores_gemma":[0.9996396,0.0001323335,0.0000759894,0.00003253684,0.000105323,0.00001414489],"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":[0.0002051989,0.00003863103,0.001429827,0.0001047975,0.00004499907,0.0002343637,0.0001403106,0.9436805,0.01877062,0.01545473,0.0006430117,0.01925296],"study_design_scores_gemma":[0.000003590454,0.00002224543,0.0002035397,0.000004187458,0.000005622537,0.00001230949,0.00001054027,0.9979351,0.0006870615,0.000916545,0.0001962457,0.000003097394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2487011,0.0004557948,0.7234566,0.0002241894,0.00005124471,0.0001095842,0.0001853236,0.0008737821,0.02594251],"genre_scores_gemma":[0.9931958,0.0001388227,0.004639385,0.00001518048,0.000009798805,0.00002853956,0.00004241382,0.00002523024,0.001904789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005898063,"threshold_uncertainty_score":0.01172745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002986457545093923,"score_gpt":0.2117656090970041,"score_spread":0.2087791515519102,"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."}}