修改的基于长期短期内存的斑马优化算法的设计,以限制多级逆变器中SHEPWM的问题
G Krithiga1, S Senthilkumar2, Mohammed Alharbi3
1Department of Electrical and Electronics Engineering, Parisutham Institute of Technology and Science, NH 67, Ring Road, Kamaraj Nagar, Nanjikotttai, Thanjavur, 613006, India. krithiga.g2012@gmail.com.
Scientific reports
|September 28, 2024
概括
本研究介绍了多级逆变器 (MLI) 的MLSTM-ZOA,与其他方法相比,显著降低了总波扭曲 (THD) 和波扭曲百分比 (HDP).
科学领域:
- 电气工程 电气工程
- 电力电子 电力电子 电力电子
- 人工智能的人工智能
背景情况:
- 多级逆变器 (MLI) 对于功率转换至关重要,但受到波扭曲的影响.
- 优化切换角度 (SAs) 是在MLIs中最大限度地减少总波扭曲 (THD) 的关键.
- 现有的优化技术在效率和融合速度方面面临挑战.
研究的目的:
- 提出一种新的MLSTM-ZOA方法,用于在MLIs中快速测量SA.
- 通过优化调制指数 (MI),脉冲计数和工作周期来最大限度地减少THD.
- 提高MLI控制策略的性能和趋同.
主要方法:
- 为SA计算开发了MLSTM-ZOA算法.
- 优化三个关键参数:MI,每季度脉冲数和工作周期.
- 对MPA,HHO,MGMPA和SF-BOA算法的比较分析.
主要成果:
- 与现有方法相比,MLSTM-ZOA实现了较高的THD减少 (高达81.58%).
- 观察到HDP的显著改善,增幅高达84.01%.
- 拟议的方法显示了更快的收和更好的整体性能.
结论:
- 在MLIs中,MLSTM-ZOA为THD和HDP最小化提供了高度有效的解决方案.
- 该算法为优化MLI性能提供了强大的和高效的方法.
- 实验验证证证实了MLSTM-ZOA模型的实际适用性和优越性.
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