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<p>To optimize land resource utilization and reduce raising costs, multi-layer cage systems have been increasingly adopted by chicken farms but with certain drawbacks. The centralized use of ventilation fans increases harmonic components in individual houses. Moreover, external power grids often experience outages. Manually starting diesel generators during such outages can lead to hypoxia in chickens. Additionally, current houses rely on traditional external energy supplies, which are high carbon emissions. To address these issues, this paper proposes an AC/DC hybrid microgrid and energy management strategies. These include smooth switching strategy for transitions between grid-connected and off-grid modes, 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 AC/DC hybrid microgrid is demonstrated by simulating and analyzing several cases from on-grid and off-grid aspects, which provides valuable insights for advancing the development of smart, low-carbon livestock farming.</p>

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Multi-mode Energy Management and Intelligent Control Strategies for WT-PV-BESS Hybrid AC/DC Microgrid in Caged Poultry Farm

  • 期刊论文

  • 发表日期：

    2026年7月8日

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  • Jiewen Wu,
  • Junxiang Li

摘要

To optimize land resource utilization and reduce raising costs, multi-layer cage systems have been increasingly adopted by chicken farms but with certain drawbacks. The centralized use of ventilation fans increases harmonic components in individual houses. Moreover, external power grids often experience outages. Manually starting diesel generators during such outages can lead to hypoxia in chickens. Additionally, current houses rely on traditional external energy supplies, which are high carbon emissions. To address these issues, this paper proposes an AC/DC hybrid microgrid and energy management strategies. These include smooth switching strategy for transitions between grid-connected and off-grid modes, 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 AC/DC hybrid microgrid is demonstrated by simulating and analyzing several cases from on-grid and off-grid aspects, which provides valuable insights for advancing the development of smart, low-carbon livestock farming.