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Keywords

load identification, data decoupling, dynamic parameters, ambient noise

Abstract

Load identification is an important part of power system simulation. In order to obtain accurate load identification dynamic parameters, scholars at home and abroad have done a lot of in-depth research on the reasonable construction of identification models. Firstly, on the basis of the traditional load model, two real-time dynamic parameter identification load models based on ambient noise are deduced, which realizes the decoupling of the input data sequence of the measurement and identification data in the calculation of the identification model. At the same time, it avoids the negative impact of the identification of the initial physical quantity redundancy and the iterative amplification of the identification quantity error on the parameter power response capability. Then, the data power response capability of the two measurement and identification models is verified and analyzed from the ambient noise simulation data and the actual measurement data. The results show that the load dynamic parameters measured and identified are applicable to the current power simulation system, indicating that the research can provide a new direction for further research on the identification model and provide a data basis for load controllability.

DOI

10.19781/j.issn.1673-9140.2023.01.016

First Page

138

Last Page

145

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