{"id":"W4398188184","doi":"10.1109/tpel.2024.3403894","title":"Dynamic-Tracking Damping Controller for DFIG-Based Wind Farms to Mitigate Sub-Synchronous Control Interactions","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Control theory (sociology); Controller (irrigation); Tracking (education); Wind power; Control engineering; Control (management); Engineering; Computer science; Electrical engineering","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":[0.0001971331,0.0005519245,0.0002534916,0.0002234609,0.00034737,0.0003750336,0.0006186901,0.0002667646,0.001141514],"category_scores_gemma":[0.0003609625,0.0001340513,0.0001749387,0.0001583562,0.0001753111,0.0003817063,0.0002953192,0.0004805106,0.0002628686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002173276,"about_ca_system_score_gemma":0.0002672824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001227049,"about_ca_topic_score_gemma":0.001878424,"domain_scores_codex":[0.9998477,0.00001602631,0.00001134872,0.00003802339,0.00006986087,0.00001712352],"domain_scores_gemma":[0.999845,0.0000281813,0.00003531212,0.00001494323,0.00006694772,0.000009524709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003926871,0.0002564787,0.002112807,0.0005163266,0.0000983607,0.00037131,0.0002692671,0.3770064,0.1681233,0.01044313,0.005124901,0.435285],"study_design_scores_gemma":[0.00006408955,0.0002736351,0.0007750514,0.00002165281,0.00002551147,0.00007684073,0.00001841459,0.9739062,0.01649678,0.001003928,0.007327507,0.00001047582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03314919,0.0002578475,0.961294,0.00007129212,0.0001099378,0.00006539581,0.00003066818,0.0009948784,0.004026745],"genre_scores_gemma":[0.9651672,0.0001391135,0.03245198,0.00007073324,0.00003783172,0.00008795862,0.00006130342,0.00002222167,0.001961739],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001227049,"threshold_uncertainty_score":0.00381875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007451702074478986,"score_gpt":0.2524533779072809,"score_spread":0.2450016758328019,"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."}}