Experimental test of PMU measurement errors and the impact on load model parameter identification.

The results of ambient signals‐based load modelling are more sensitive to phasor measurement unit (PMU) measurement errors due to the relatively smaller disturbance magnitudes of ambient signals. To analyse the impact of PMU measurement errors, the stochastic distributions and frequency spectra of PMU measurement errors are required. In this study, the measurement errors of Sifang CDS361 PMU are experimentally tested, and then their impacts on load modelling results are analysed. The following contributions have been made in this study. Firstly, the stochastic distributions and frequency spectra of PMU measurement errors are experimentally tested, from which it can be concluded that systematic errors occupy a larger proportion compared with accidental errors. Secondly, the impacts of PMU measurement errors on load modelling results are analysed. It can be concluded that accidental errors have more severe impacts on the accuracy of both dynamic and static load models. Besides, systematically errors also impact the accuracy of static load models. Thirdly, the function of low‐pass filters in recovering measurement signals from PMU measurement errors and enhancing the accuracy of load modelling results are validated. It can be further concluded that load model parameters can be accurately identified with current PMU measurement accuracy. [ABSTRACT FROM AUTHOR]