A Hybrid Approach for Time-Varying Harmonic and Interharmonic Detection Using Synchrosqueezing Wavelet Transform

With widespread non-linear loads and the increasing penetration of distributed generations in power system, harmonic pollution has become a great concern. The causes not only include integer harmonics, but also interharmonics, which exacerbate complexity analysis. In addition, output variability highly renewables such as electric arc furnaces photovoltaic solar or wind generation may lead to weakly time-varying harmonics interharmonics both frequency magnitude. These features present challenges for accurate assessment associated power-quality (PQ) disturbances. To tackle PQ problems, hybrid detection method using synchrosqueezing wavelet transform (SSWT) is proposed. proposed first obtains proper parameter values mother according numerical computations. transform-based clustering are applied determine each component waveform under assessment. time-domain magnitude then reconstructed by inverse SSWT operation. novelty that it can decompose measured containing into intrinsic mode functions without need fundamental detection. Compared other time–frequency analysis methods, better anti-noise higher resolution curves; even signal close components. Simulation results actual measurement validations show effective relatively interharmonic suitable applications networks microgrids have high causing voltage current waveforms.