一种基于虫优化算法的新型MPPT技术,用于复杂的部分阴影条件下的光伏系统
Chunliang Mai1,2, Lixin Zhang3,4, Xuewei Chao1,2
1College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, 832003, China.
Scientific reports
|March 19, 2024
概括
使用虫优化算法 (DBO) 的新最大功率点跟踪 (MPPT) 技术提高了太阳能电池板的效率. 这种基于DBO的MPPT实现了高的全球最大功率点跟踪效率,改善了太阳能收集.
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
- 光伏技术 光伏技术
背景情况:
- 太阳能光伏 (PV) 系统对于全球碳中和至关重要.
- 太阳能系统中的部分遮阳导致非线性,多峰值输出功率,降低效率.
- 有效的最大功率点跟踪 (MPPT) 对于克服这些挑战至关重要.
研究的目的:
- 为光伏系统引入一种新的MPPT技术,使用虫优化算法 (DBO).
- 在各种环境条件下最大限度地提高光伏系统的输出功率,特别是部分遮阳.
- 评估基于DBO的MPPT与已建立的算法对比的性能.
主要方法:
- 开发和实施一种基于虫优化算法 (DBO) 的新型MPPT技术.
- 与松鼠搜索算法,乌搜索优化,马群优化算法,粒子群优化,自适应因子化粒子群优化算法和灰狼优化混合Nelder-mead进行比较性性能分析.
- 使用Hardware-in-the-Loop (HIL) +实时控制平台 (RCP) 的实验验证.
主要成果:
- 该DBO技术实现了99.99%的全球最大功率点 (GMPP) 追踪效率.
- 在汇率稳定方面表现出最大80%的改善.
- 在平均输出功率方面表现出最大8%的改进.
- 实验验证证证实与其他方法相比,跟踪速度和准确性优越.
结论:
- 拟议的基于DBO的MPPT技术为光伏系统中的GMPP跟踪提供了更快,更高效和更强大的解决方案.
- DBO算法有效地解决了在部分阴影下非线性和多峰特征所带来的挑战.
- 这一进步为最大限度地利用太阳能和实现碳中和目标做出了重大贡献.
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