基于小波变换的可再生能源并网系统小信号稳定性分析及振荡模式识别

S. Choudhary, F. Sharma
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引用次数: 3

摘要

本文分析了太阳能光伏与风力发电并网对电力系统小信号稳定性的影响。采用标准基准IEEE 09总线系统进行研究。分别用太阳能光伏发电(SPVG)和双馈感应发电机(DFIG)风力发电机组替代传统的同步发电机,分析了其影响。还研究了太阳能和风能的不同渗透水平的影响。本征值分析用于计算由小扰动引起的振荡分量的频率和阻尼因子。使用离散小波变换(DWT)识别振荡模式,这是一种频谱分析技术。利用功率谱密度曲线和时频曲线提取信号中隐藏的频率信息。在基于MATLAB的PSAT、小波和时频信号分析工具箱中对不同情况进行了仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Small signal stability analysis of renewable source connected power system and identification of oscillatory modes using wavelet transform
This paper analyzes the impact of integration of solar PV and wind power generation on small signal stability of the power system. Standard benchmark IEEE 09 bus system is used for study. The impact has been analyzed by replacing the conventional synchronous generator with solar photo-voltaic generation (SPVG) and doubly fed induction generator (DFIG) wind turbines separately. The effect of varying penetration level of solar and wind power is also investigated. Eigenvalue analysis is used to compute the frequency and damping factor of oscillatory components that arise due to small disturbances. The oscillatory modes are identified using discrete wavelet transform (DWT), a spectral analysis technique. Power spectral density and time frequency curves are used to extract hidden frequency information from the signal. The different cases have simulated in MATLAB based PSAT, wavelet, and time frequency signal analysis toolboxes.
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