智能MPPT和协调控制无刷DFIG风力轮机的电压稳定性
Prashanth Rajanala1, Malligunta Kiran Kumar1, Ambati Giriprasad2
1Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India.
Scientific reports
|July 2, 2025
概括
本研究介绍了风能系统中无刷双感应发电机 (DFIG) 的先进控制策略. 这种新的方法提高了电压稳定性,并最大限度地提取电力,提高了整体系统性能.
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:
- 无刷双感应发电机 (DFIG) 对于风能转换至关重要.
- 在基于DFIG的WECS中确保电压稳定性和最大限度地提取电力是重大挑战.
- 现有的控制方法可能无法充分解决动态电网条件和波扭曲.
研究的目的:
- 为基于无刷双感应发电机 (DFIG) 的风能转换系统 (WECS) 开发一种新的控制方法.
- 为了提高电压稳定性,并在动态操作条件下最大限度地提取功率.
- 增强电网支功能,减少波扭曲.
主要方法:
- 使用一个混乱的Salp Swarm优化 (CSSO) 调整适应性神经模糊推理系统 (ANFIS) 最大功率点跟踪 (MPPT).
- 实现转子侧转换器 (RSC) 和电网侧转换器 (GSC) 之间的协调控制.
- 采用基于d-q参考框架的电流控制策略进行波抑制.
主要成果:
- 实现了高跟踪效率 ([公式:参见文本]) 与改进的跟踪速度 (0.08s).
- 将总波扭曲 (THD) 降低到2.85%以下.
- 在电压稳定性和风能采集效率方面显著改善.
结论:
- 开发的CSSO-ANFIS控制方法有效地提高了DFIG-WECS中的电压稳定性和功率提取.
- 协调控制策略改善了电网支持,减少了波扭曲.
- 该控制器在稳定状态和动态条件下都表现出强大的性能,在MATLAB/Simulink中得到验证.
关键词:
基于MPPT的混沌盐群集优化 (CSSO-ANFIS) 的方法双输电感应发电机 (DFIG) 是一个双输电感应发电机.电网侧控制 (GSC) 是指电网侧控制.旋转器侧控制 (RSC) 控制器风能转换系统 (WECS) 是一个风能转换系统.更多相关视频
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