{"id":"W3196458727","doi":"10.3390/en14175478","title":"Optimal Sizing of Energy Storage System for Operation of Wind Farms Considering Grid-Code Constraints","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wind power; Sizing; Grid code; Grid; Energy storage; Electric power system; Constraint (computer-aided design); Computer data storage; Intermittent energy source; Computer science; Renewable energy; Mathematical optimization; Reliability engineering; Engineering; Automotive engineering; Power (physics); Distributed generation; Electrical engineering; AC power; Mathematics; Voltage","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":[0.0003073323,0.0007955298,0.0008019881,0.0003891141,0.0002803526,0.001203466,0.0005208778,0.0004869108,0.002163535],"category_scores_gemma":[0.0007410694,0.0003716635,0.0003391884,0.0005033673,0.0003204452,0.0007838372,0.0003339514,0.0004416853,0.0002414498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006704419,"about_ca_system_score_gemma":0.001288236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003143301,"about_ca_topic_score_gemma":0.005849375,"domain_scores_codex":[0.9998344,0.00005331828,0.0000127299,0.0000365119,0.00003516489,0.00002781618],"domain_scores_gemma":[0.9997795,0.0000911583,0.00005674242,0.00001430484,0.00004314538,0.00001517498],"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":[0.00007096207,0.00003827919,0.0004325891,0.0001198765,0.00002176704,0.00007114882,0.00003296564,0.9700172,0.007099098,0.003564351,0.0007175382,0.01781428],"study_design_scores_gemma":[0.00001636903,0.00005398188,0.0003837824,0.00001140545,0.00001681334,0.00002225969,0.00003411124,0.9957836,0.001630646,0.00165861,0.0003823268,0.000006115645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2566312,0.001423043,0.7162814,0.0004652693,0.0001008242,0.000349987,0.0005142285,0.0005370939,0.02369691],"genre_scores_gemma":[0.9625828,0.0002769259,0.03566654,0.00002745143,0.00001239779,0.0001141558,0.00008519271,0.00002810598,0.001206416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003143301,"threshold_uncertainty_score":0.007237732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008216961839436215,"score_gpt":0.1926918664848758,"score_spread":0.1844749046454396,"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."}}