{"id":"W3174085705","doi":"10.1109/tsg.2021.3091535","title":"A Cyber Attack Mitigation Scheme for Series Compensated DFIG-Based Wind Parks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Hong Kong Polytechnic University; Lakehead University","keywords":"Wind power; Scheme (mathematics); Doubly fed electric machine; Series (stratigraphy); Computer science; Control theory (sociology); Engineering; AC power; Electrical engineering; Voltage; Control (management); Mathematics","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":[0.00008989211,0.0002161107,0.0002220459,0.00009564128,0.0002609855,0.00006322814,0.0001053705,0.0001596781,0.0002255481],"category_scores_gemma":[0.000008206435,0.0002329798,0.0001734203,0.0003458747,0.00008243789,0.0002284796,6.973993e-7,0.0002766364,0.00008952655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000687751,"about_ca_system_score_gemma":0.00007688241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000793661,"about_ca_topic_score_gemma":0.0002359232,"domain_scores_codex":[0.9988946,0.00003711979,0.0002684599,0.0002826729,0.0001992467,0.000317954],"domain_scores_gemma":[0.9992898,0.0001388019,0.00002549802,0.0002957503,0.0001346314,0.0001154836],"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":[0.0001747191,0.0003050905,0.0001680497,0.000329622,0.0002047085,0.00003551314,0.0004844196,0.9177926,0.06935124,0.00006848104,0.009688317,0.001397239],"study_design_scores_gemma":[0.001472449,0.0001283842,0.0009245455,0.0001521311,0.00007248937,0.00003885945,0.0001618583,0.1557323,0.7717361,0.00003319531,0.06902632,0.0005213431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6296416,0.0001657483,0.3614531,0.0008549602,0.005582517,0.0005373909,0.0003844792,0.0006428937,0.000737301],"genre_scores_gemma":[0.9953421,0.0000468715,0.003481646,0.0002497972,0.0002323425,0.00009559585,0.00009518264,0.00004902079,0.0004074755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7620603,"threshold_uncertainty_score":0.9500639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179144079897365,"score_gpt":0.2364898486923827,"score_spread":0.2185754407026462,"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."}}