{"id":"W2605396191","doi":"10.1109/tsg.2017.2693992","title":"Cooperative Control of Wind Power Generator and Electric Vehicles for Microgrid Primary Frequency Regulation","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Voltage droop; Microgrid; Automatic frequency control; Wind power; Control engineering; Automatic Generation Control; Engineering; Electric power system; Inertia; Control theory (sociology); Frequency regulation; Permanent magnet synchronous generator; Control (management); AC power; Computer science; Generator (circuit theory); Power (physics); Electrical engineering; Voltage regulator; Voltage","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":[0.0003431292,0.0004569222,0.0002990248,0.0001830724,0.0002428866,0.0004863444,0.0004630258,0.0002461986,0.0007806973],"category_scores_gemma":[0.0006098017,0.0001127327,0.0002385627,0.0001591536,0.0003358233,0.00041015,0.0005085599,0.000312575,0.0001092148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002322101,"about_ca_system_score_gemma":0.0003419013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144822,"about_ca_topic_score_gemma":0.001470047,"domain_scores_codex":[0.9998286,0.00004620125,0.00000791907,0.00003534655,0.00005602995,0.00002600598],"domain_scores_gemma":[0.9997932,0.00007510983,0.0000452515,0.00001705452,0.00005531975,0.00001399132],"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":[0.000178783,0.0001136472,0.0009583634,0.0001893556,0.00004835478,0.0003333763,0.0002700972,0.8423539,0.03154758,0.03623659,0.001003945,0.08676594],"study_design_scores_gemma":[0.00001592062,0.0001161714,0.0001843586,0.000006578315,0.00001335752,0.00002797108,0.00002766974,0.9940339,0.001892258,0.002762865,0.0009141151,0.000004923018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08970261,0.0003330249,0.901622,0.0001041003,0.00006421682,0.00004585383,0.00001082707,0.0001984931,0.007918863],"genre_scores_gemma":[0.9929157,0.00009073326,0.006296698,0.00001046978,0.00001176528,0.0000221258,0.00000516008,0.000004190336,0.0006431759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001144822,"threshold_uncertainty_score":0.002611697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005952202854261788,"score_gpt":0.2008206663946102,"score_spread":0.1948684635403485,"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."}}