{"id":11614,"date":"2026-09-06T15:27:47","date_gmt":"2026-09-06T07:27:47","guid":{"rendered":"\/jase\/?post_type=tkuisotope&p=11614"},"modified":"2026-09-06T16:57:51","modified_gmt":"2026-09-06T08:57:51","slug":"jase-202612-35-023","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=jase-202612-35-023","title":{"rendered":"A Supply Chain Coordination Control Method for New Energy Grid Connected Power Systems Based on Data Analysis"},"content":{"rendered":"\n
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<\/i> 2026<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 35<\/a><\/p>\n<\/div>\n\n\n\n

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Anjiang Liu, Youzhuo Zheng, Di Weng, Hengrong Zhang, Xinhao Li<\/i><\/a><\/p>\n\n\n\n

Electric Power Research Institute, Guizhou Power Grid Co., Ltd, Guiyang, 550002, China<\/p>\n<\/div>\n\n\n\n

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Received: March 31, 2026
Accepted: July 10, 2026
Publication Date: August 26, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Weight Distribution of Supply Chain Coordination Control Indicators<\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/i> Copyright <\/strong>The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n

Download Citation: BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.202612_35.023<\/a> <\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

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Renewable energy variability and unpredictability hinder supply chain coordination in grid-connected systems; thus, a data-based control approach is designed. All-phase Fourier transform is applied to extract features of renewable generation for enhanced decision making with supply chain data. The transportation, inventory, and demand constraints are considered in a coordination model that is solved by an enhanced PSO incorporating adaptive inertia weight, boundary control, and diversity preservation. Evaluated on IEEE 30-bus with 3000 samples, it achieves 98.2% reliability, 5.6% efficiency gain and 0.22s delay reduction.<\/p>\n\n\n\n

Keywords: Grid-integrated renewable energy power system, Supply chain control, All phase Fourier analysis, Enhanced particle swarm optimization algorithm<\/em><\/p>\n\n\n\n

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