使用各种电池技术的孤立光伏/风能/生物质混合微电网的全面技术环境评估:比较分析
Mohammed Alqahtani1, Saeed Alhajri2, Ahmed S Menesy2
1Industrial Engineering Department, King Khalid University, Abha, Saudi Arabia.
PloS one
|February 20, 2025
概括
这项研究使用先进的算法优化了离网混合可再生能源系统. 斑马优化算法 (ZOA) 证明是最有效的,最大限度地降低了成本,并确保了偏远地区的可靠电力.
科学领域:
- 可再生能源系统可再生能源系统
- 优化算法 优化算法
- 技术经济分析 技术经济分析
背景情况:
- 离网区域面临能源获取和环境挑战.
- 混合可再生能源系统提供了一个可持续的解决方案.
- 技术经济分析对于优化这些系统至关重要.
研究的目的:
- 对离网光伏/风能/生物质混合系统进行技术经济分析.
- 使用优化算法来确定系统组件的最佳尺寸.
- 为了尽量减少净当前成本 (NPC),同时确保可靠的电力供应.
主要方法:
- 使用了 Osprey 优化算法 (OOA),斑马优化算法 (ZOA) 和飞狐优化算法 (FFO).
- 分析了来自沙特阿拉伯塔布克的数据 (28.38°北, 36.56°东).
- 评估了三种电池类型:洪水酸,铁酸盐 (LFP) 和铁 (Ni-Fe).
主要成果:
- 该ZOA表现出卓越的性能,以0.1285美元/千瓦时的最低成本获得电力.
- 铁酸盐 (LFP) 电池在受限制的电源损失概率 (LPSP) 下,导致最低的NPC为380万美元.
- 在模拟中,ZOA表现出增强的稳定性和收性.
结论:
- 综合混合系统方法提高了离网微电网的经济可行性和运营弹性.
- 像ZOA这样的优化算法对于测量混合可再生能源系统非常有效.
- 这项研究强调了干旱和半干旱地区可持续能源解决方案的潜力.
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