{"id":"W3217546925","doi":"10.1109/epec52095.2021.9621658","title":"An Optimization-based Load Frequency Control in an Interconnected Multi-Area Power System Using Linear Quadratic Gaussian Tuned via PSO","year":2021,"lang":"en","type":"article","venue":"","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Linear-quadratic-Gaussian control; Optimal projection equations; Control theory (sociology); Particle swarm optimization; Automatic frequency control; Linear-quadratic regulator; Frequency deviation; Gaussian; Controller (irrigation); Optimal control; Frequency response; Computer science; Engineering; Mathematics; Mathematical optimization; Control (management)","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":[0.0006727348,0.0005437818,0.0006432676,0.0002896189,0.0003503564,0.000701959,0.0004751241,0.0005407636,0.0007352164],"category_scores_gemma":[0.0009184425,0.0002665249,0.0003748978,0.0003542218,0.0004589562,0.0003702299,0.0004268011,0.0004741236,0.0001147343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004001942,"about_ca_system_score_gemma":0.0006815789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009161806,"about_ca_topic_score_gemma":0.006805601,"domain_scores_codex":[0.9997022,0.00009242196,0.00001289532,0.00006579794,0.00009506683,0.00003162157],"domain_scores_gemma":[0.9997105,0.0001340603,0.00005129164,0.00001384318,0.00007597341,0.00001446587],"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":[0.00004439036,0.00003114548,0.000462941,0.00005976754,0.00002413816,0.000057155,0.00005568839,0.9691421,0.002869296,0.001513137,0.000457269,0.02528289],"study_design_scores_gemma":[0.000005365497,0.00001558266,0.00008786283,0.000001419943,0.00000241586,0.000003711357,0.00000273166,0.9995036,0.0001547587,0.0001299594,0.00009092938,0.000001525353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04284453,0.0002679976,0.9527058,0.0001637541,0.00003652593,0.00006143274,0.00001707615,0.0002942684,0.003608598],"genre_scores_gemma":[0.9411973,0.0001209907,0.05682688,0.00004729279,0.00002398971,0.00008645827,0.00002615994,0.00003022574,0.001640638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009161806,"threshold_uncertainty_score":0.01821697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481604194538288,"score_gpt":0.2414110899580267,"score_spread":0.2265950480126438,"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."}}