通过基于电网的风力轮机的能力来改善动态故障骑行的新方法
Shoaib Ahmed Dayo1,2, Ahsanullah Memon2, Zeeshan Anjum Memon2
1Dipartimento di Industriale Ingegneria, Università degli Studi di Salerno, Via Giovanni Paolo II, 132, Fisciano, 84084, SA, Italy.
Scientific reports
|February 20, 2025
概括
这项研究增强了风力轮机的双源感应发电机 (DFIG) 稳定性,使用模糊逻辑控制来检测故障,以及Salp Swarm优化来进行参数调整. 这种新的方法提高了低压通行能力和电源质量.
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:
- 双流感应发电机 (DFIG) 对于风力轮机 (WTs) 非常重要,因为其可变速度运行和增强的能量捕获.
- DFIG面临着稳定性,超速和上升时间的挑战,特别是在电网故障条件下.
- 对于DFIG中杆激活的传统故障检测方法容易产生错误触发.
研究的目的:
- 为连接到电网的DFIG系统开发一种新的控制策略,以提高低压通行能力 (LVRT).
- 为了提高DFIG故障检测和控制器参数调节的准确性.
- 在电网集成和波动负载期间优化短暂响应和电源质量.
主要方法:
- 集成模糊逻辑控制 (FLC) 以精确检测DFIG系统中的故障.
- 应用Salp Swarm优化算法 (SSA) 来改进比例整合 (PI) 控制器收益和直流链路电容.
- 通过对现有研究进行比较分析,验证拟议的方法.
主要成果:
- 活动功率超标的显著减少,从10.12×106减少到3.78×106.
- 通过SSA实施实现的超标额进一步减少,从15.01×106减少到6.10×106.
- 证明了DFIG动态响应,系统稳定和电源质量的改进.
结论:
- 提出的基于FLC和SSA的控制策略有效地提高了LVRT能力和DFIG系统稳定性.
- 与传统方法相比,该方法在减少超速和短暂的过程中提供了卓越的性能.
- 经过验证的结果证实了该方法对现代风能系统的有效性.
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