{"id":"W2915048479","doi":"10.1109/tpwrs.2019.2895573","title":"Microgrid Dispatch With Frequency-Aware Islanding Constraints","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Islanding; Microgrid; Economic dispatch; Automatic frequency control; Control theory (sociology); Frequency regulation; Scheme (mathematics); Computer science; Power system simulation; Power (physics); Electric power system; Distributed generation; Control engineering; Engineering; Reliability engineering; Mathematical optimization; Control (management); Telecommunications; Electrical engineering; Mathematics; Renewable energy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007200595,0.000216532,0.000242683,0.0001259834,0.0000725113,0.00008661766,0.0001128513,0.0001072676,0.000349723],"category_scores_gemma":[3.163906e-7,0.0001848098,0.0000709413,0.0001840937,0.00003354212,0.0001652792,3.111097e-7,0.0002098076,0.0003478002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000907741,"about_ca_system_score_gemma":0.00002208344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004493499,"about_ca_topic_score_gemma":0.00003277861,"domain_scores_codex":[0.9990628,0.00002538421,0.0002373653,0.000224881,0.0001653599,0.0002841569],"domain_scores_gemma":[0.9995227,0.00003433213,0.00003610249,0.0002763965,0.00005079027,0.00007969484],"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":[0.00004022576,0.00006463085,0.0005857944,0.0001903935,0.0002803167,0.00001817844,0.0005571592,0.9856354,0.01022413,0.0000355731,0.0003973736,0.001970839],"study_design_scores_gemma":[0.0116645,0.001521724,0.0007514324,0.002787011,0.0004541007,0.001008618,0.003839281,0.9166777,0.03792394,0.00002278699,0.01927009,0.004078841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02611671,0.0005525347,0.9664264,0.00002144492,0.003008225,0.0005612806,0.0001204651,0.0004458434,0.002747108],"genre_scores_gemma":[0.9992872,0.00009215513,0.0002153246,0.00002110543,0.0000179895,0.00005469635,0.00000789057,0.00005234891,0.000251311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9731705,"threshold_uncertainty_score":0.7536326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003193231378493495,"score_gpt":0.1635602783980139,"score_spread":0.1603670470195204,"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."}}