摘要
风力发电并网中的暂态电能质量问题严重影响电网的安全稳定运行和用电设备的正常使用,因此深入分析风电并网产生的暂态电能质量问题并且准确检测扰动是非常必要的。首先,分析了风电并网系统引起暂态电压扰动的原因,并建立风电并网系统的仿真模型,得出电压扰动信号的具体类型;然后,基于稀疏分解的思想,分析了具体的暂态电压扰动信号;再针对其特点构造了风电并网电压扰动原子库,减少了信号分解时的计算量,提高了匹配追踪的速度。该方法不仅对扰动信号准确分类,并且同时实现了扰动信号的定位和参数估计,辨识方法简单有效,精度较高。
The transient power quality problems of wind power grid affect the safety and stable operation of the power system and electrical equipment. Therefore, it is necessary to analysis on wind power transient power quality problems depth and detect the disturbance accurately. Firstly, the paper introduced the reasons for transient voltage fluctuation re-garding to integration of wind power. Then, the paper introduced different types of the disturbance signal from the transient voltage fluctuation. To be more specific, according to sparse decomposition framework, this method is used to increase the matching speed:analyzing the disturbance signal from the transient voltage fluctuation. It can not only increase the accu-racy of disturbance signal assortment, but alsoi achieve transient disturbance location and parametric estimates.
出处
《电源学报》
CSCD
2015年第5期15-21,共7页
Journal of Power Supply
基金
高等学校博士学科点专项科研基金资助项目(20120032110070)~~
关键词
风力发电
暂态电压扰动
匹配追踪法
检测识别
wind-generated electricity
transient voltage fluctuation
matching pursuit method
monitoring and identify