{"id":"W3206913888","doi":"10.1016/j.ijepes.2021.107689","title":"Operational characteristics and parameter sensitivity analysis of hydropower unit damping under ultra-low frequency oscillations","year":2021,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Science Foundation of Hubei Province; Bureau of Science and Technology of Zhoushan; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Hydropower; Sensitivity (control systems); Control theory (sociology); Damping ratio; Electric power system; Power (physics); Automatic frequency control; Stability (learning theory); Low frequency; Energy (signal processing); Engineering; Computer science; Control (management); Mathematics; Vibration; Statistics; Physics; Electronic engineering; Acoustics; 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":[0.0004624749,0.0002788786,0.0002639314,0.0004078819,0.0001707345,0.0003522635,0.0003127061,0.0004069525,0.0009990428],"category_scores_gemma":[0.001762761,0.000162846,0.0004258513,0.0002197331,0.0003342458,0.0003661901,0.0002215406,0.0003205742,0.00008356119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002479659,"about_ca_system_score_gemma":0.0001074996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403007,"about_ca_topic_score_gemma":0.0008156912,"domain_scores_codex":[0.9998229,0.0000538856,0.000009400435,0.00002972504,0.0000472126,0.00003684433],"domain_scores_gemma":[0.998136,0.00149907,0.0001360691,0.00008648631,0.0001161894,0.00002615502],"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":[0.001497913,0.0001647138,0.01420885,0.0002887848,0.0001642952,0.0008182145,0.0003383755,0.8375054,0.121809,0.001967752,0.0003805686,0.02085606],"study_design_scores_gemma":[0.00001446684,0.0002763432,0.01871863,0.00001090947,0.00004082575,0.0001440833,0.00009281212,0.9605154,0.01954327,0.0004461579,0.0001739184,0.00002322471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873917,0.00008753704,0.01081094,0.00003935622,0.000005847811,0.00001320524,0.00006797616,0.00007770432,0.001505826],"genre_scores_gemma":[0.999719,0.00000666346,0.0001858127,0.000002128243,4.536665e-7,0.000001935907,0.00001101365,0.000003312137,0.00006963962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001403007,"threshold_uncertainty_score":0.003342092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009842276675488941,"score_gpt":0.2379425829568678,"score_spread":0.2281003062813788,"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."}}