Mixed integer nonlinear programming-based warehousing construction and optimization for power grid networking

Changzhi Jiang; Zhongjun Ji; Ziyan Zhang; Qiqi Liu

doi:10.1117/12.3015571

6 February 2024 Mixed integer nonlinear programming-based warehousing construction and optimization for power grid networking

Changzhi Jiang, Zhongjun Ji, Ziyan Zhang, Qiqi Liu

Author Affiliations +

Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129796U (2024) https://doi.org/10.1117/12.3015571
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China

Abstract

Scientifically constructing the power grid material warehousing network can improve the logistics operation efficiency, reduce the inventory cost and improve the efficiency of the whole power grid logistics system. In this regard, this paper studies the optimization of the power material warehousing construction and uses the mixed integer nonlinear programming method to construct the warehouse location model, so as to finally get the optimal theoretical results. Then, this paper puts forward the power grid material centralized warehousing network optimization solution, which is also combined with the actual traffic conditions, the logistics response time requirements, the social logistics resources and other practical constraints to evaluate and the proposed model and method. The experiment results indicate that the proposed method outperforms the benchmarks.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Changzhi Jiang, Zhongjun Ji, Ziyan Zhang, and Qiqi Liu "Mixed integer nonlinear programming-based warehousing construction and optimization for power grid networking", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129796U (6 February 2024); https://doi.org/10.1117/12.3015571

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