基于模糊逻辑控制的基于PMSG的风力轮机的自适应式混合虚拟惯性控制器
Mohamed Hosny1, Mostafa I Marei1, Ahmed M I Mohamad2
1Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Ain Shams, Egypt.
Scientific reports
|January 30, 2025
概括
本研究介绍了一种混合适应性虚拟惯性控制策略,使用模糊逻辑来增强微电网的频率稳定性. 这种新的方法改善了系统惯性和频率支持,解决了可再生能源整合带来的挑战.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 可再生能源系统可再生能源系统
背景情况:
- 使用可再生能源 (RES) 的微电网面临惯性降低,影响频率稳定性.
- 传统的虚拟惯性控制器在不同的微电网条件和性能要求 (如频率点和频率变化率 (ROCOF)) 中扎.
研究的目的:
- 提出混合适应性虚拟惯性控制策略,以提高低惯性微电网的频率支持.
- 提高微电网的抗扰能力,以抵御来自可再生能源和负载变化的干扰.
主要方法:
- 开发了一种混合适应性虚拟惯性控制策略,集成基于动能 (KE) 的虚拟惯性控制和虚拟电容控制.
- 模糊逻辑被用来同时调整两个控制循环的增益.
- 模拟使用MATLAB/Simulink进行,以评估动态性能.
主要成果:
- 拟议的战略有效地提高了系统惯性和频率支持.
- 模拟显示在各种RES干扰和负载变化下性能有所改善.
- 控制器的自适应性确保了在不同的微电网运行条件下稳定性.
结论:
- 拟议的基于fuzzy逻辑的混合自适应虚拟惯性控制策略为低惯性微电网的频率稳定提供了强大的解决方案.
- 这种方法有效地减轻了与集成基于转换器的高透率可再生能源相关的挑战.
- 该研究强调了通过先进的控制技术提高微电网性能和可靠性的潜力.
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