混合离网能源系统的最佳尺寸与集成储存基于决定性平衡方法
Alaa Selim1,2,3, Mohamed El-Shimy4, Ghada Amer5
1Electrical and Computer Engineering Department, University of Connecticut, Storrs, Connecticut, USA. alaa.selim@uconn.edu.
Scientific reports
|March 23, 2024
概括
本研究提出了一种新的确定性平衡方法 (DBM),用于优化使用为平衡的混合能源系统. DBM提供了一种更有效的方法来量化可再生能源解决方案.
科学领域:
- 可再生能源系统可再生能源系统
- 储能解决方案 储能解决方案
- 优化技术 优化技术
背景情况:
- 可持续的电力基础设施需要有效地整合各种可再生能源.
- 混合能源系统对于可靠的可再生能源供应至关重要.
- 能在可再生能源系统中提供了能量平衡的潜力.
研究的目的:
- 引入和验证确定性平衡方法 (DBM) 以优化混合能源系统.
- 评估DBM在减少系统大小计算的计算复杂性的效率.
- 评估DBM的性能与现有的优化工具相比.
主要方法:
- 开发了确定性平衡方法 (DBM) 以将尺寸优化转换为确定性问题.
- 利用太阳能和风能数据用于系统建模.
- 对开罗国际机场的能源需求进行了应用DBM的案例研究.
主要成果:
- 与当前的方法相比,DBM显著减少了优化所需的代次数.
- 与HOMER Pro的比较分析显示结果在5%的偏差范围内,证实了DBM的精度.
- 该方法有效地为现实世界的应用量化混合动力能源系统.
结论:
- 确定性平衡方法 (DBM) 提供了一种高效和精确的方法来优化混合能源系统.
- 由于DBM能够简化优化过程,使其成为可再生能源整合的宝贵工具.
- 成功的案例研究证明了DBM对实际能源需求的适用性.
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