对于独立的DFIG动态性能增强的metaheuristic优化控制的实验验证
Salah Soued1, Kada Boureguig2, Mohammed S Chabani3,4
1Higher Institute of Science and Technology, Regdaleen, Libya.
Scientific reports
|February 25, 2026
概括
这项研究使用Cuckoo Search Algorithm (CSA) 和Whale Optimization Algorithm (WOA) 来增强独立的双感应发电机 (DFIG) 系统,以提高不平衡负载下的动态性能和功率质量.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 控制系统 控制系统
背景情况:
- 独立的双电感应发电机 (DFIG) 系统对于离网发电至关重要.
- 不平衡的负载显著降低了DFIG系统的动态性能和功率质量.
- 传统的PI控制器通常在动态负载变化下难以保持最佳性能.
研究的目的:
- 为面临不平衡负载的独立DFIG系统制定强大的控制策略.
- 优化比例整合 (PI) 控制器使用元启发算法,以提高动态响应和功率质量.
- 通过模拟和实验测试验证拟议的控制策略.
主要方法:
- 对旋翼侧转换器实施直电压控制方案.
- 应用Cuckoo搜索算法 (CSA) 和鱼优化算法 (WOA) 进行PI控制器调整.
- 使用dSPACE DS1104平台进行验证,用于全面的模拟和实验分析.
主要成果:
- 优化的PI控制器显著改善了短暂响应,减少了高达88%的超越和99%的上升时间.
- 在负载和电压步骤变化下,静止器电压总波扭曲 (THD) 被抑制了82%.
- 实验结果证实了CSA和WOA优化控制器对传统调方法的优越性.
结论:
- 使用CSA和WOA进行元启发式优化为独立的DFIG系统提供了强大的控制策略.
- 提出的方法有效地提高动态性能和功率质量,特别是在负载不平衡的情况下.
- 这种方法为可靠的离网DFIG风能应用提供了显著的进步.
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