生物启发的线粒体能量优化,以提高电网连接的逆变器在弱电网系统中的性能
Mrinal Kanti Rajak1, Rajen Pudur2
1Department of Electrical Engineering, National Institute of Technology Arunachal Pradesh, Jote, Itanagar, Arunachal Pradesh, 791113, India. mrinal.phd20@nitap.ac.in.
Scientific reports
|December 30, 2025
概括
一个新的线粒体能量生产优化 (MEPO) 算法增强了弱电网中的电网连接逆变器控制. 这种生物灵感的方法提高了电源质量和稳定性,超过了现有的优化技术.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 整合可再生能源的整合
背景情况:
- 弱电网条件,以低短路比率 (SCR) 为特征,对从电网连接的逆变器中稳定和高质量的电力注入构成重大挑战.
- 在电网中断期间保持电力质量和系统稳定性对于可再生能源的可靠运行至关重要.
研究的目的:
- 引入和评估一种新的生物灵感算法,即线粒体能量生产优化 (MEPO),用于先进控制连接到电网的逆变器.
- 在低SCR环境和电网干扰期间提高电源质量和系统稳定性.
主要方法:
- 开发一种用于逆变器控制的新型线粒体能量生产优化 (MEPO) 算法.
- 一个全面的LCL过器的设计,用于高级波抑制.
- 在原型逆变器系统上实施和实验验证.
主要成果:
- MEPO控制器实现了[公式:见文本]的当前总波扭曲 (THD),显著超过粒子群优化 ([公式:见文本]) 和遗传算法 ([公式:见文本]).
- 在 [公式:见文本] 中,用于当前控制和电压调节的证明快速定位时间 ([公式:见文本]),保持功率系数为0.998.8.
- 实验验证显示了下面[公式:参见文本]的稳定状态错误和在[公式:参见文本]的强大的频率跟踪.
结论:
- 拟议的MEPO算法在连接到电网的逆变器控制中提供了显著的进步,特别是在弱电网应用中.
- 生物灵感的方法确保了强大的性能,高功率质量和更好的系统稳定性.
- 与传统的优化方法相比,MEPO表现出更高的融合速度和可靠性.
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