{"id":"W2604726630","doi":"10.1109/tste.2017.2691279","title":"SSR Mitigation With a New Control of PV Solar Farm as STATCOM (PV-STATCOM)","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaic system; Engineering; Fault (geology); Inverter; AC power; Grid-connected photovoltaic power system; Compensation (psychology); Flexible AC transmission system; Electrical engineering; Electricity generation; Electric power system; Maximum power point tracking; Electronic engineering; Control theory (sociology); Power (physics); Computer science; Voltage; Control (management); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009694193,0.0002481517,0.0003095415,0.0001851679,0.0003850619,0.0001390269,0.000238319,0.0001221979,0.000122349],"category_scores_gemma":[0.000008107536,0.0002377088,0.0001071602,0.0001395008,0.00007264255,0.0004099984,0.000001357173,0.0001776534,0.000007217331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001464439,"about_ca_system_score_gemma":0.0001742858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00282773,"about_ca_topic_score_gemma":0.0005726625,"domain_scores_codex":[0.9987894,0.00002500247,0.0002899865,0.0002318648,0.0002238083,0.0004399576],"domain_scores_gemma":[0.9989296,0.00005110992,0.0001206843,0.0005306631,0.0002198393,0.0001480836],"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":[0.0002305333,0.00006676491,0.00001852142,0.00007225825,0.0001894697,0.00002526725,0.000184618,0.9680096,0.001834629,0.001455345,0.0001311435,0.02778185],"study_design_scores_gemma":[0.01663133,0.001344378,0.0003695791,0.0002063453,0.0006512441,0.00005445655,0.002835257,0.6308365,0.2709055,0.003546334,0.07105283,0.001566191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00621403,0.0002507728,0.9902922,0.000231031,0.000222359,0.0002222969,0.00002469965,0.0001847959,0.00235784],"genre_scores_gemma":[0.9925926,0.0003204612,0.0007399445,0.00009346079,0.00006344201,0.00006165041,0.000009084864,0.0000612962,0.006058028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9895523,"threshold_uncertainty_score":0.9693485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003480712959966783,"score_gpt":0.1869393358187211,"score_spread":0.1834586228587543,"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."}}