{"id":"W4412972838","doi":"10.1109/tste.2025.3589980","title":"Fast Frequency Response in Low Inertia Grids via Integrated Supercapacitor Energy Storage Systems and Wind Turbine Generators","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Power Generation; Abbotsford Veterinary Clinic; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation","keywords":"Energy storage; Wind power; Turbine; Supercapacitor; Pumped-storage hydroelectricity; Inertia; Frequency response; Electrical engineering; Automotive engineering; Engineering; Computer science; Renewable energy; Power (physics); Distributed generation; Aerospace engineering; Capacitance; Physics","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":[0.0001430748,0.0002682886,0.0002427737,0.0001374199,0.0001621855,0.0003779217,0.0004149268,0.0001613812,0.001046364],"category_scores_gemma":[0.0002383205,0.0001229262,0.000118147,0.0001650425,0.0002168498,0.0003353367,0.0002176641,0.0002594428,0.0001842687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001898273,"about_ca_system_score_gemma":0.0001589941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007621446,"about_ca_topic_score_gemma":0.001456633,"domain_scores_codex":[0.9998951,0.00002205718,0.000005982246,0.00002031908,0.00004343625,0.00001315143],"domain_scores_gemma":[0.9998729,0.00003772687,0.00003086068,0.00002032502,0.00002899529,0.000009161196],"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":[0.0008696253,0.0002171252,0.00320939,0.0003077448,0.0000701731,0.0006531493,0.0002300554,0.4678997,0.296786,0.009785794,0.002645882,0.2173253],"study_design_scores_gemma":[0.0000254081,0.0002189529,0.0005740267,0.00001006847,0.00001410794,0.00007159711,0.00002319644,0.9703254,0.02612999,0.001201926,0.001395645,0.000009699749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4610111,0.0004407524,0.5231303,0.0002578207,0.0001092666,0.00009508189,0.00009611116,0.002048508,0.01281107],"genre_scores_gemma":[0.9895301,0.00005141615,0.009533462,0.00001543547,0.00000594277,0.00001420533,0.00001115056,0.00001120463,0.0008271725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001046364,"threshold_uncertainty_score":0.003500402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003682810414831237,"score_gpt":0.1867577309488542,"score_spread":0.183074920534023,"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."}}