摘要
将小波变换运用于有源电力滤波器谐波检测时,因运算量大,效率不高,不能保证检测结果的实时性,针对这个问题,提出了一种基于小波变换与滑动时间窗相结合的在线谐波检测方法,在运用小波基bior1.5对信号序列进行去噪处理的同时,采用滑动时间窗对突变信号动态跟踪以实现在线检测。搭建并联型有源电力滤波器仿真模型,测试该方法在非线性负载产生电流突变时的谐波检测能力,结果表明该方法在保证较高的准确性和稳定性的前提下,实现了在线谐波检测。
When wavelet transformation is applied to the harmonic detection of the active power filter, it＇s difficult to ensure real-time ability because of large amounts of computations and low efficiency. A novel online harmonic detection approach based on combining wavelet transformation with sliding time window was proposed. While wavelet bior1.5 was used to deal with the denosing of signals, sliding time window was adopted to dynamically track the mutating signals to achieve online detection. And the simulation models of the SAPF were built up. The capability of the harmonic detection was tested while the current mutation was produced by the nonlinear loads. The simulation result shows that the online harmonic detection is brought into effect under the conditions of ensuring higher accuracy and stability.
出处
《电源技术》
CAS
CSCD
北大核心
2014年第6期1151-1154,共4页
Chinese Journal of Power Sources
基金
湖南省自然科学基金委员会与湘潭市政府自然科学联合基金资助(10JJ9008)
