{"id":"W7117484923","doi":"10.21608/svusrc.2025.440556.1307","title":"A Frequency Stability Improving of Microgrids Using Virtual Inertia Control Based on PID and PIDA Controller","year":2025,"lang":"en","type":"article","venue":"SVU-International Journal of Engineering Sciences and Applications","topic":"Frequency Control in Power Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Control theory (sociology); PID controller; Automatic frequency control; Controller (irrigation); Microgrid; Inertia; Frequency deviation; Wind power","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":[0.000378412,0.0007010798,0.000465426,0.0004496345,0.0004245589,0.0006947996,0.0005555093,0.000324906,0.001605319],"category_scores_gemma":[0.0007635098,0.000193399,0.0004020132,0.0002356152,0.0002515739,0.0004543354,0.00048579,0.0003764729,0.0003577673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002441292,"about_ca_system_score_gemma":0.0003253989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434124,"about_ca_topic_score_gemma":0.001749542,"domain_scores_codex":[0.9997719,0.00003347717,0.0000190191,0.00006354432,0.00008304531,0.0000289736],"domain_scores_gemma":[0.9997244,0.00005194303,0.00004982028,0.00003358545,0.0001218359,0.00001843367],"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":[0.0009325842,0.0003566781,0.00438034,0.0008278541,0.0001945899,0.0007471567,0.0004707719,0.4981309,0.1116868,0.004264276,0.004426728,0.3735813],"study_design_scores_gemma":[0.00009144173,0.0007492536,0.003018593,0.00003435562,0.00007618721,0.0002046869,0.0000659527,0.9719796,0.01787583,0.0008700673,0.004991911,0.00004206594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1840582,0.001274662,0.794767,0.0002340517,0.0003534263,0.0001577696,0.0001169385,0.004283508,0.0147544],"genre_scores_gemma":[0.9858256,0.0001410002,0.01245284,0.00002511038,0.00002274578,0.00004097041,0.00003713623,0.00002050775,0.001433955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002434124,"threshold_uncertainty_score":0.005370378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006285701346019955,"score_gpt":0.2292901379207096,"score_spread":0.2230044365746896,"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."}}