{"id":"W4415149052","doi":"10.3390/pr13103271","title":"Coordinated Control Strategy for Active–Reactive Power in High-Proportion Renewable Energy Distribution Networks with the Participation of Grid-Forming Energy Storage","year":2025,"lang":"en","type":"article","venue":"Processes","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Renewable energy; Energy storage; Distributed generation; Smart grid; Cluster analysis; Grid; Energy consumption; Power (physics); Power control; Scheduling (production processes)","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":[0.0005604925,0.0007394144,0.0005848085,0.0003340967,0.0004399268,0.0009826092,0.0008681911,0.000328703,0.0006890407],"category_scores_gemma":[0.0006476998,0.0002621038,0.000441799,0.0004066706,0.0004393947,0.0005839029,0.0006092663,0.0005034138,0.0001302404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000665304,"about_ca_system_score_gemma":0.0007283957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005354438,"about_ca_topic_score_gemma":0.005363853,"domain_scores_codex":[0.9994072,0.0001398598,0.00002755216,0.00017801,0.0001762423,0.00007124792],"domain_scores_gemma":[0.9996687,0.00007025449,0.000111905,0.00002641849,0.00009877827,0.00002395733],"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":[0.0001352197,0.00006823511,0.0007128416,0.00006166774,0.0000612655,0.00009197497,0.0001075125,0.9268204,0.00845849,0.006524914,0.0009173526,0.05604003],"study_design_scores_gemma":[0.00001341584,0.00004878977,0.0001804083,0.000002222218,0.00001403799,0.00001098997,0.00001143499,0.9978006,0.0009738474,0.0006703718,0.0002694719,0.000004419703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0431418,0.0002002415,0.9519843,0.000106011,0.00004805933,0.00004948621,0.00002087076,0.0003453023,0.004103884],"genre_scores_gemma":[0.9850889,0.00006249268,0.01415094,0.00002275463,0.0000129653,0.00003828313,0.00001608581,0.00001377049,0.0005938976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005354438,"threshold_uncertainty_score":0.01064652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007409874724693461,"score_gpt":0.2342281259915951,"score_spread":0.2268182512669017,"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."}}