适应性控制的STATCOM和SMES用于LVRT增强可再生能源集成AC微电网
1Department of Electrical Engineering, College of Engineering, King Khalid University, Abha, Saudi Arabia.
Heliyon
|February 24, 2025
概括
这项研究通过使用一种新的混合适应算法,增强了与电网连接的微电网的低压通行 (LVRT). 拟议的方法在电网故障期间改善了短暂稳定性和电力质量.
科学领域:
- 电气工程 电气工程
- 电力系统工程 电力系统工程
背景情况:
- 集成电网的交流微电网 (AC-MG) 需要强大的低压通行 (LVRT) 功能,以在电网故障期间保持稳定.
- 现有的LVRT改进拓在缓解过电压和电压波动方面存在局限性.
- 确保电网规范的遵守,需要加强可再生能源整合的LVRT.
研究的目的:
- 改进电网集成AC-MGs的LVRT能力.
- 引入一种新的混合适应算法,以提高瞬态稳定性.
- 验证VSC-STATCOM和VSC-SMES系统所提出的控制策略的有效性.
主要方法:
- 建议使用混合适应算法,将最小平均平方 (LMS) 和最大Versoria标准 (MVC) 结合起来.
- 该算法可以动态调整电压源转换器 (VSC) -STATCOM和VSC-超导磁能存储 (SMES) 的PI控制器.
- 使用MATLAB/Simulink进行模拟研究,使用实用的1 MVAR STATCOM和0.78 MW SMES系统.
主要成果:
- 拟议的基于MVC的自适应算法在增强瞬态稳定性方面,与基于LMS的控制器相比,表现优越.
- MVC算法的快速收速度有效地管理了电网干扰期间的电压波动和过电压.
- 控制的SMES和STATCOM系统的集成显著提高了AC-MG的功率质量.
结论:
- 新的混合适应性控制策略有效地提高了集成电网AC-MG的LVRT能力和短暂稳定性.
- 拟议的方法为满足电网规范要求和提高电力系统可靠性提供了可行的解决方案.
- 控制的SMES和STATCOM系统对于在故障条件下提高微电网的电力质量至关重要.
关键词:
这是一个AC-微电网.适应性算法 适应性算法低电压通过骑行-通过.可再生能源 可再生能源对于中小企业而言,这是一个很好的选择.这是一个STATCOM系统.电压源转换器电压源转换器风力发电是风力发电的重要组成部分.更多相关视频
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