使用模型预测控制在各种海况下混合船舶能源管理系统的最佳设计
Rafia Mushtaq1, Muhammad Iqbal2, Abdul Khaliq1
1Department of Electrical and Computer Engineering, Sir Syed CASE Institute of Technology, Islamabad, Pakistan.
PloS one
|July 2, 2025
概括
模型预测控制优化混合船舶能源系统,提高可靠性和可持续性. 该系统有效地管理来自不同海况的功率波动,防止发电机故障.
科学领域:
- 海洋工程 海洋工程
- 可持续能源系统 可持续能源系统
- 控制系统 控制系统
背景情况:
- 船舶面临的发电机压力,由于功率波动来自变化的海水条件.
- 未经管理的波动可能导致发电机中断或故障.
- 混合式储能系统为稳定输出功率提供了解决方案.
研究的目的:
- 为混合船舶能源管理系统引入最佳设计和控制策略.
- 通过减少排放,提高船舶可靠性和环境可持续性.
- 为了减轻发电机压力,由各种海水条件下的功率变化引起的压力.
主要方法:
- 采用模型预测控制 (MPC) 进行动态能源管理.
- 制定一个MPC法律来管理混合电池和超级电容器存储.
- 在各种电池重量配置 (1, 5, 10, 20, 30, 50) 中调查系统性能.
主要成果:
- 拟议的MPC有效地减轻了在轻度,中度和重度海洋条件下的功率变化.
- 通过混合动力储能系统的动态响应,避免了发电机故障.
- 当储能元件之间的重量差超过20时,观察到电流和.
结论:
- 该MPC方法为混合船舶能源管理提供了有效的解决方案.
- 优化储能配置对于系统性能和稳定性至关重要.
- 该方法证明了提高船舶运营效率和可持续性的巨大潜力.
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