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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1383376

Optimal scheduling study of green warehousing microgrid based on improved sparrow search algorithm

Provisionally accepted
Liyang Liu Liyang Liu 1*Shiyu Zhang Shiyu Zhang 1Hongdi Zhang Hongdi Zhang 1Ziyan Zhang Ziyan Zhang 1Yudong Liu Yudong Liu 2
  • 1 State Grid Liaoning Electric Power Co., Ltd, Shenyang, Liaoning Province, China
  • 2 School of Electrical Engineering., Shenyang University of Technology, Shenyang, Liaoning Province, China

The final, formatted version of the article will be published soon.

    Combining green warehousing with wind-solar-storage systems can improve the current situation of green warehousing with economic power consumption, energy saving, and emission reduction. To realize the efficient and stable operation of the wind-solar-storage microgrid, this paper proposes a microgrid optimal scheduling strategy based on the Improved Sparrow Algorithm (ISSA). Firstly, a comprehensive benefit model is established based on the economic and environmental benefits of microgrid daily operation. Then, an innovative improved sparrow search algorithm is proposed, which aims to improve the global search and local search capability of the microgrid scheduling problem by introducing improvements such as Logistic-Circle chaotic mapping, Bottle Sea Sheath swarm optimization algorithm, dynamic inertia weights, water wave dynamic factor, and Cauchy-Gaussian variational strategy. Finally, the microgrid optimal scheduling model is solved by the improved sparrow search algorithm and compared with other algorithms. In this paper, Matlab 2016b is used for simulation, and the simulation results show that the ISSA algorithm outperforms other algorithms in terms of solution stability and optimization search capability. Under three modes of operation, ISSA improves the microgrid operation revenue by 6.29%, 5.98%, and 6.31% at least. Therefore, the optimal scheduling scheme obtained based on ISSA improves the daily operating total revenue and the system operation stability of the microgrid.

    Keywords: Green warehousing, Wind-solar-storage, improved sparrow search algorithm, Optimal scheduling, Economic optimization

    Received: 07 Feb 2024; Accepted: 30 Aug 2024.

    Copyright: © 2024 Liu, Zhang, Zhang, Zhang and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Liyang Liu, State Grid Liaoning Electric Power Co., Ltd, Shenyang, 110004, Liaoning Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.