对基因算法增强的PI控制器进行实验分析,以优化多转子变速风力轮系统中的功率
Habib Benbouhenni1, Nicu Bizon2,3, Mourad Yessef4
1Laboratoire LAAS, Ecole Nationale Polytechnique d'Oran, Bp 1523, EL M'naouer, Algeria. habib.benbouhenni@enp-oran.dz.
Scientific reports
|January 9, 2025
概括
一个新的基于遗传算法的比例整合控制器提高了双引发电机的功率质量. 与直接功率控制相比,这种方法显著减少了功率波动和超速,提高了系统稳定性和电流质量.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 可再生能源可再生能源是可再生能源.
背景情况:
- 直接功率控制 (DPC) 是发电机的常见线性控制技术,以其简单性和速度而备受赞赏.
- 然而,DPC可以导致电流质量降低和网络干扰.
- 双输电感应发电机 (DFIG) 在多旋转风系统中广泛使用.
研究的目的:
- 提出一种简单有效的解决方案,以改善基于DFIG的风力系统的电力质量.
- 解决DPC的缺点,特别是电力质量下降和网络干扰.
- 提高多转子风力系统的性能和稳定性.
主要方法:
- 一个由遗传算法 (GA) 优化的比例积分 (PI) 调节器被设计用于电源质量调节.
- 使用脉冲宽度调制 (PWM) 来为DFIG的转子逆变器产生控制脉冲.
- 模拟在MATLAB中进行,然后使用dSPACE 1104进行处理器在循环 (PIL) 测试.
主要成果:
- 与DPC相比,GA优化的PI控制器显著减少了高达71.42%的活性功率波动.
- 与DPC相比,反应功率超标减少了高达92.85%.与DPC相比,反应功率超标减少了高达92.85%.
- PIL测试证实了能源和电流质量的提升,验证了控制器的有效性.
结论:
- 拟议的GA优化的PI控制器为基于DFIG的风力系统提供了比DPC更好的替代方案.
- 这种方法有效地提高了电源质量,减少了电源波动和超标,并提高了电流质量.
- 开发的控制策略是改善风力发电系统性能的合适解决方案.
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