Journal of Applied Science and Engineering

Published by Tamkang University Press

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A Supply Chain Coordination Control Method for New Energy Grid Connected Power Systems Based on Data Analysis

 2026

 Volume 35

Anjiang Liu, Youzhuo Zheng, Di Weng, Hengrong Zhang, Xinhao Li

Electric Power Research Institute, Guizhou Power Grid Co., Ltd, Guiyang, 550002, China

Received: March 31, 2026
Accepted: July 10, 2026
Publication Date: August 26, 2026

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Weight Distribution of Supply Chain Coordination Control Indicators

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

Download Citation: BibTeX | http://dx.doi.org/10.6180/jase.202612_35.023

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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.

Keywords: Grid-integrated renewable energy power system, Supply chain control, All phase Fourier analysis, Enhanced particle swarm optimization algorithm

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