Dynamic load modelling using measured data in distribution networks

M. Shafiei; G. Nourbakhsh; G. Ledwich; T. Femando; H. Iu; A. Arefi

doi:10.1109/PGSRET.2017.8251791

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Conference paper

Dynamic load modelling using measured data in distribution networks

M. Shafiei, G. Nourbakhsh, G. Ledwich, T. Femando, H. Iu and A. Arefi

2017 3rd International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)

3rd International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET) 2017 (Johor Bahru, Malaysia, 04/04/2017–06/04/2017)

2017

DOI: https://doi.org/10.1109/PGSRET.2017.8251791

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Abstract

Induction motor loads are considered as the main dynamic load in distribution networks. The aim of this paper is to propose a method to identify and model induction motor loads based on the data from Phasor Measurement Point (PMU). In this method, the active power-voltage transfer function is extracted from PMUs data, and the location of zero and pole of this transfer function can be employed to identify and model the induction motor loads. The effectiveness of the proposed method is evaluated by simulation results.

Details

Title: Dynamic load modelling using measured data in distribution networks
Authors/Creators: M. Shafiei (Author/Creator)
G. Nourbakhsh (Author/Creator)
G. Ledwich (Author/Creator)
T. Femando (Author/Creator)
H. Iu (Author/Creator)
A. Arefi (Author/Creator)
Publication Details: 2017 3rd International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)
Conference: 3rd International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET) 2017 (Johor Bahru, Malaysia, 04/04/2017–06/04/2017)
Identifiers: 991005541986407891
Murdoch Affiliation: School of Engineering and Information Technology
Language: English
Resource Type: Conference paper

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