{"id":"W4414458948","doi":"10.1109/acdsa65407.2025.11166238","title":"Multi-Objective Graph-Based Reinforcement Learning for Voltage and Frequency Stability in Grid-Connected Renewable Energy Systems","year":2025,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Mitacs","keywords":"Control theory (sociology); Voltage; Automatic frequency control; Reinforcement learning; Electric power system; Voltage regulation; Robustness (evolution); Renewable energy; AC power","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009312065,0.0006691776,0.0006227802,0.0003394386,0.0002652065,0.0004737958,0.0007434248,0.0005108767,0.0009962085],"category_scores_gemma":[0.002123683,0.000281083,0.0002963535,0.0002565481,0.0005399653,0.0005108541,0.0006155912,0.0007664739,0.0001112121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000844677,"about_ca_system_score_gemma":0.0007476909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008207158,"about_ca_topic_score_gemma":0.006704165,"domain_scores_codex":[0.9997199,0.0001087581,0.00001273525,0.00005176002,0.00006688415,0.0000399021],"domain_scores_gemma":[0.9991294,0.0005180752,0.0001278332,0.00003685644,0.0001470615,0.00004078671],"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":[0.00001936792,0.00001524776,0.0002207055,0.00001410551,0.00001117584,0.00001874391,0.00001391413,0.9895342,0.0005237916,0.001110729,0.0001313452,0.008386597],"study_design_scores_gemma":[0.000002357686,0.000007556562,0.00002459935,7.31463e-7,0.000001243911,0.000001407014,9.750854e-7,0.9995066,0.00006647502,0.0003557848,0.00003137178,8.934823e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07021042,0.0002917486,0.9259433,0.0002471512,0.00003727679,0.00005591785,0.00003042559,0.0005132277,0.002670588],"genre_scores_gemma":[0.978498,0.0000604372,0.02059035,0.00004664941,0.000009510785,0.00004154655,0.00002362921,0.00002226603,0.0007075919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008207158,"threshold_uncertainty_score":0.0163188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006916048428582447,"score_gpt":0.1959306819689698,"score_spread":0.1890146335403873,"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."}}