scholarly journals Enhanced ambient signals based load model parameter identification with ensemble learning initialisation

2020 ◽  
Vol 14 (24) ◽  
pp. 5877-5887
Author(s):  
Xinran Zhang ◽  
David J. Hill ◽  
Lipeng Zhu
Keyword(s):  
Parameter Identification ◽  
Ensemble Learning ◽  
Model Parameter ◽  
Load Model ◽  
Model Parameter Identification

scholarly journals Development and application of measurement data pre-processing tools for parameter identification considering q-axis voltage

2021 ◽  
Vol 2087 (1) ◽  
pp. 012068
Author(s):  
Dunxiang Sun ◽  
Lei Cui
Keyword(s):  
Parameter Identification ◽  
Extraction Method ◽  
Phase Measurement ◽  
Measurement Data ◽  
Positive Sequence ◽  
Model Accuracy ◽  
Model Parameter ◽  
Load Model ◽  
Measurement Units ◽  
Model Parameter Identification

Abstract At present, when model parameter identification is carried out, measurement data from phase measurement units or fault recorders are generally used directly. These two types of devices can directly provide the fundamental positive sequence quantities required for parameter identification, but cannot output the dq components. If these measurement data can be fully utilized for parameter identification, it is very beneficial to improve the model accuracy. In this paper, according to the engineering needs of load model parameter identification, the extraction method and variation law of dq components are studied, and the data pre-processing tool is developed and put into use.

scholarly journals A Statistical-Based Approach to Load Model Parameter Identification

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Aminjon Gulakhmadov ◽  
Alexander Tavlintsev ◽  
Aleksey Pankratov ◽  
Anton Suvorov ◽  
Anastasia Kovaleva ◽  
...  
Keyword(s):  
Parameter Identification ◽  
Model Parameter ◽  
Load Model ◽  
Model Parameter Identification
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