Online parameter identification and generic modeling derivation of a dynamic load model in distribution grids

Theofilos A. Papadopoulos; Georgios A. Barzegkar-Ntovom; Vassilis C. Nikolaidis; Panagiotis N Papadopoulos; Graeme Burt

doi:10.1109/PTC.2017.7980994

Online parameter identification and generic modeling derivation of a dynamic load model in distribution grids

Theofilos A. Papadopoulos, Georgios A. Barzegkar-Ntovom, Vassilis C. Nikolaidis, Panagiotis N Papadopoulos, Graeme Burt

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The advent of smart grids and the installation of phasor measurement units in the distribution network have renewed the interest on the measurement-based load modeling approach. In this paper, a real-time load modeling and identification procedure of the well-known exponential recovery dynamic load model using synchrophasor data is presented. The performance of the proposed method is evaluated using measurements recorded in a low-voltage laboratory scale test rig. Several parameters of the procedure are investigated to evaluate the applicability of the method under real world conditions, including the impact of filtering techniques, outlier rejection, model optimization algorithms, etc. The findings of this paper verify the validity of the proposed method for realtime applications.

Original language	English
Title of host publication	2017 IEEE Manchester PowerTech
DOIs	https://doi.org/10.1109/PTC.2017.7980994
Publication status	Published - 20 Jul 2017

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10.1109/PTC.2017.7980994

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title = "Online parameter identification and generic modeling derivation of a dynamic load model in distribution grids",

abstract = "The advent of smart grids and the installation of phasor measurement units in the distribution network have renewed the interest on the measurement-based load modeling approach. In this paper, a real-time load modeling and identification procedure of the well-known exponential recovery dynamic load model using synchrophasor data is presented. The performance of the proposed method is evaluated using measurements recorded in a low-voltage laboratory scale test rig. Several parameters of the procedure are investigated to evaluate the applicability of the method under real world conditions, including the impact of filtering techniques, outlier rejection, model optimization algorithms, etc. The findings of this paper verify the validity of the proposed method for realtime applications.",

author = "Papadopoulos, {Theofilos A.} and Barzegkar-Ntovom, {Georgios A.} and Nikolaidis, {Vassilis C.} and Papadopoulos, {Panagiotis N} and Graeme Burt",

year = "2017",

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AU - Papadopoulos, Theofilos A.

AU - Barzegkar-Ntovom, Georgios A.

AU - Nikolaidis, Vassilis C.

AU - Papadopoulos, Panagiotis N

AU - Burt, Graeme

PY - 2017/7/20

Y1 - 2017/7/20

N2 - The advent of smart grids and the installation of phasor measurement units in the distribution network have renewed the interest on the measurement-based load modeling approach. In this paper, a real-time load modeling and identification procedure of the well-known exponential recovery dynamic load model using synchrophasor data is presented. The performance of the proposed method is evaluated using measurements recorded in a low-voltage laboratory scale test rig. Several parameters of the procedure are investigated to evaluate the applicability of the method under real world conditions, including the impact of filtering techniques, outlier rejection, model optimization algorithms, etc. The findings of this paper verify the validity of the proposed method for realtime applications.

AB - The advent of smart grids and the installation of phasor measurement units in the distribution network have renewed the interest on the measurement-based load modeling approach. In this paper, a real-time load modeling and identification procedure of the well-known exponential recovery dynamic load model using synchrophasor data is presented. The performance of the proposed method is evaluated using measurements recorded in a low-voltage laboratory scale test rig. Several parameters of the procedure are investigated to evaluate the applicability of the method under real world conditions, including the impact of filtering techniques, outlier rejection, model optimization algorithms, etc. The findings of this paper verify the validity of the proposed method for realtime applications.

UR - https://pureportal.strath.ac.uk/en/publications/b3b07441-5d71-4c6b-8215-01e0d11aacd6

U2 - 10.1109/PTC.2017.7980994

DO - 10.1109/PTC.2017.7980994

M3 - Conference contribution

SN - 9781509042388

SN - 9781509042371

BT - 2017 IEEE Manchester PowerTech

ER -

Online parameter identification and generic modeling derivation of a dynamic load model in distribution grids

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