新的MPPT算法基于蜜蜂的食特征,用于太阳能发电系统
Wei-Jen Chen1, Shoeb-Azam Farooqui2, Hwa-Dong Liu1
1Undergraduate Program of Vehicle and Energy Engineering, National Taiwan Normal University, Taipei, 106, Taiwan.
Heliyon
|March 19, 2024
概括
一个新的蜜蜂跳舞 (HBD) 算法增强了太阳能跟踪. 这种生物灵感的方法在各种条件下有效地找到最大功率点,超过传统算法.
科学领域:
- 可再生能源系统可再生能源系统
- 生物模拟算法 生物模拟算法
- 太阳能光伏功率优化 太阳能光伏功率优化
背景情况:
- 最大功率点跟踪 (MPPT) 对于光伏 (PV) 能源采集至关重要.
- 现有的MPPT算法在不同的辐射条件下面临挑战,特别是部分遮阳.
- 需要有效,适应性的MPPT策略,以自然现象为灵感.
研究的目的:
- 为太阳能系统中MPPT引入一种新的蜂蜜跳舞 (HBD) 算法.
- 为了评估HBD算法在均和部分阴影条件下的性能.
- 将HBD算法与已建立的MPPT方法比较,例如OPLR和P&O.
主要方法:
- 开发了一种HBD算法,模拟蜜蜂的食和通信,以定位最大功率点.
- 与OPLR和P&O算法一起实施和测试HBD算法.
- 在均照射条件 (UIC) 和部分阴影条件 (PSC) 下进行实验验证.
主要成果:
- 与OPLR和P&O相比,HBD算法在UIC和PSC中表现出优异的性能.
- 在PSC下,HBD实现了更高的输出功率 (218W vs. 189.2W/74.8W) 和效率 (99% vs. 86%/34%) 与更快的收 (4.7ms).
- HBD算法消除了对光伏面板规格,复杂计算和额外传感器的需求.
结论:
- 拟议的HBD算法为太阳能MPPT提供了一个高效和经济有利的解决方案.
- 这种生物灵感的方法通过模仿自然的食行为,有效地优化了太阳能发电.
- 该HBD算法为光伏能源采集系统提供了一个强大的和简化的替代方案.
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