在多旋转风力轮系统中实验验证神经修饰滑动模式技术在多旋转风力轮系统中的有效性
Habib Benbouhenni1, Mourad Yessef2, Ali Nadhim Jbarah Almakki3
1Ecole Nationale Polytechnique d'Oran Maurice AUDIN, Laboratoire LAAS, Bp 1523 El M'Naouer, Oran, Algeria. habib.benbouhenni@enp-oran.dz.
Scientific reports
|April 15, 2025
概括
一个新的神经修饰的滑动模式控制显著提高了多转子风力轮机的功率质量. 与传统方法相比,这种先进的方法大大减少了功率波动和电流波.
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
- 控制理论 控制理论
背景情况:
- 风能系统的直接功率控制面临能源和电流波动的挑战,影响系统的整体性能.
- 传统的控制方法尽管简单且广泛使用,但在缓解这些波动方面存在局限性.
- 多转子风力轮机系统,特别是那些使用双输电感应发电机的风力轮机系统,需要先进的控制策略来优化输出功率.
研究的目的:
- 提出和评估一种神经修改的滑动模式控制方法,用于基于双输电感应发电机的多转子风力轮机.
- 评估拟议的控制策略在提高电力和电流质量方面的稳定性和能力.
- 为了比较新方法与传统方法在减少功率波纹和波扭曲方面的有效性.
主要方法:
- 为多旋转风力轮机量身定制的神经修改的滑动模式控制算法的开发.
- 使用MATLAB.使用拟议的控制策略的实施和模拟.
- 使用dSPACE 1104.4的硬件在循环模拟设置进行实验验证.
主要成果:
- 拟议的控制方法显著降低了反应功率和活性功率的超标,分别降低了99.82%和97.26%.
- 与经典方法相比,当前波扭曲率减少了相当大的幅度 (48.80%至61.29%).
- 在所有测试中,主动功率波纹减少了大约81.35%至85.20%.
- 经验结果证实了该方法提高能源和电流质量的能力.
结论:
- 神经修饰的滑动模式控制为多旋转风力轮机的直接功率控制提供了高度稳固和有效的解决方案.
- 这种先进的控制策略有效地减轻了电力和当前的质量问题,优于传统方法.
- 经过验证的方法为改善风能系统的可靠性和效率提供了一个有希望的未来解决方案.
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