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

Content Provider	IET Digital Library
Author	Zhang, Xinran Lu, Chao Lin, Junjie Wang, Ying
Abstract	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.
Starting Page	4593
Ending Page	4604
Page Count	12
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 20, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/20
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0297
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-08-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Accidental Error Ambient Signal Dynamic Load Model Filtering Method in Signal Processing Frequency Spectra Load Model Parameter Identification Low-pass Filter Measurement Error Measurement Unit Measurement Error Parameter Estimation Phasor Measurement Phasor Measurement Unit PMU Measurement Accuracy PMU Measurement Error Power System Measurement And Metering Sifang CDS361 PMU Static Load Model Statistics Stochastic Distribution Stochastic Linearised SCUC
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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