Energy Management Strategies for Wt-Pv-Bess Hybrid Ac/Dc Microgrid in Multi-Layer Caged Poultry Farm

作     者：Wu, Jiewen Li, Junxiang Liu, Zijun 

作者机构：Business School University of Shanghai for Science and Technology Shanghai China School of Intelligent Emergency Management University of Shanghai for Science and Technology Shanghai China 

出 版 物：《SSRN》 

年 卷 期：2024年

核心收录：

主　　题：Nonlinear programming 

摘      要：To optimize land resource utilization and reduce raising costs, multi-layer cage systems have been increasingly adopted by chicken farms and are widely regarded as having promising development prospects. However, certain drawbacks of these systems remain evident. The centralized use of ventilation fans increases the harmonic components in individual chicken houses, which can compromise the reliability of not only individual chicken houses but also the entire electrical system. Moreover, as farms are typically located in remote areas, external power grids often experience outages due to various factors. Manually starting standby diesel generators during such outages can lead to hypoxia in chickens during the transition. Additionally, current chicken houses rely entirely on traditional external energy supplies, which are associated with high carbon emissions and do not align with the low-carbon development goals of the farming industry. To address these issues, this paper proposes an AC/DC hybrid microgrid system and corresponding energy management strategies. These include smooth switching strategy for transitions between grid-connected and off-grid modes, pre-synchronization control strategy, grid-connected energy management strategy based on electricity pricing, and nonlinear optimization strategy designed for multi-peak power tracking in photovoltaic generation. Finally, the effectiveness of the AC/DC hybrid microgrid proposed in the article is demonstrated by simulating and analyzing several cases from on-grid, off-grid, and on-off-grid aspects, which provides valuable insights for advancing the development of smart, low-carbon livestock farming. © 2024, The Authors. All rights reserved.