对于高透风力发电系统的合子/超同步振荡的准确参数识别方法
Dongsheng Cai1, Feiyu Sun1, Linlin Li1
1College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Sichuan 610059, China.
ISA transactions
|May 16, 2024
概括
本研究引入了一种新方法,用于确定电网中同步振荡 (SO) 和次/超同步振荡 (Sub/Sup-SO) 的参数. 新的方法准确地检测到这些振荡,即使它们同时发生或距离很近.
科学领域:
- 电气工程 电气工程
- 电力系统分析 分析 分析
- 信号处理 信号处理
背景情况:
- 越来越多的可再生能源和动力电子导致电网中的同步振荡 (SO) 更频繁.
- 亚/超同步振荡 (Sub/Sup-SO) 由于它们同时发生,因此对准确的参数识别提出了挑战.
研究的目的:
- 开发一种用于准确识别子/副SO组件参数的新方法.
- 为了应对同时发生和距离很近的Sub/Sup-SO事件所带来的挑战.
主要方法:
- 同时利用了里夫-文森特窗口和离散里埃变换 (DFT).
- 整合了三光谱插值算法与里夫-文森特窗口,以减轻光谱泄漏和围效应.
- 使用的相位测量单元 (PMU) 数据用于参数识别 (缓冲比,频率,振幅,相位).
主要成果:
- 拟议的算法准确地识别了多个Sub/Sup-SO组件的参数,包括距离很近的组件.
- 在复杂的条件下,如参数变化,非名义频率和噪声等,证明了高的识别准确性.
- 在基于合成和真实数据的识别准确性,带宽和适应性方面,超越了现有的方法.
结论:
- 这种新方法有效地识别了Sub/Sup-SO参数,增强了电网稳定性分析.
- 整合Rife-Vincent窗口和三光谱插曲提供了针对信号复杂性的强大的性能.
- 这种方法为监测和减轻现代电力系统中的振荡问题提供了重大进展.
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