通过Mantis优化算法提高PV电网连接系统的电力质量,以实现最佳的DC总线电压控制
Alla Eddine Boukhdenna1, Hamza Afghoul2, Djallal Eddine Zabia3
1Laboratory of Technologies of Energetic Systems E3360100, Department of EEA, National Higher School of Technology and Engineering, Annaba, Algeria.
Scientific reports
|January 19, 2026
概括
这项研究介绍了一种新的Mantis Shrimp优化算法 (MShOA),用于稳定光伏系统中的直流总线电压. 该MShOA动态调整电压参考,显著提高功率质量和波缓解.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 可再生能源可再生能源是可再生能源.
背景情况:
- 光伏 (PV) 系统表现出非线性和间歇性行为,导致DC总线电压 (Vdc) 稳定性的动态干扰.
- 关节主动功率过器 (SAPF) 难以应对波动的Vdc,特别是当参考电压 (Vdc*) 是静态时.
- 像 Perturb 和 Observe (P&O) 这样的最大功率点跟踪 (MPPT) 算法进一步促进了 Vdc 的变化.
研究的目的:
- 提出一个实时优化策略,用于动态Vdc*调整带有SAPF的光伏系统.
- 为了增强波缓解并保持VDC在不同操作条件下的稳定性.
- 为了提高电网的整体电力质量.
主要方法:
- 为实时Vdc*优化实现一个鱼优化算法 (MShOA).
- 使用实时总波扭曲 (THD) 反用于自适应电压控制.
- 与鱼优化算法 (WOA) 和传统方法进行比较分析.
主要成果:
- 在PV注入之前,MShOA方法将THD从3.59%降低到2.33%,并在注入后保持4.19%,符合IEEE 519-92标准.
- 与WOA相比,MShOA的性能优于WOA,在PV注入前THD为2.65%,PV注入后THD为5.78%.
- 拟议的方法证实了更高的准确性,更快的融合,以及更好的适应性,用于电压调节.
结论:
- 基于MShOA的实时优化策略有效地解决了光伏系统中DC总线电压不稳定的问题.
- 这种方法显著改善了波缓解,并确保在光伏注入下稳健的电压调节.
- 与现有方法相比,MShOA提供了一种优越的解决方案,用于提高网联光伏系统的电力质量.
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