Eigenvalue analysis of microgrids using linearization and system identification techniques

Kali A. Liaka; Kleopatra Z. Tsagkari; Panagiotis N. Papadopoulos; Theofilos A. Papadopoulos; Grigoris K. Papagiannis

doi:10.1109/UPEC.2014.6934673

Eigenvalue analysis of microgrids using linearization and system identification techniques

Kali A. Liaka^*, Kleopatra Z. Tsagkari, Panagiotis N. Papadopoulos, Theofilos A. Papadopoulos, Grigoris K. Papagiannis

^*Corresponding author for this work

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

1 Citation (Scopus)

Abstract

In this paper the dynamic behavior of a microgrid is investigated using eigenanalysis and system identification techniques. A detailed nonlinear model of the microgrid is developed in Matlab/Simulink and is used to obtain a linearized approximation to perform eigenanalysis. Moreover, the system eigenvalues are also analyzed by applying a system identification technique on the dynamic responses. The results from both methods are compared and evaluated. A microgrid with rotating and inverter-interfaced units is studied and results for various operating scenarios, such as changes in the synchronous generators torque, load changes and changes in the inverters setpoints, are presented. The influence of each parameter change on the system eigenvalues is highlighted.

Original language	English
Title of host publication	Power Engineering Conference (UPEC), 2014 49th International Universities
Place of Publication	Piscataway, NJ.
Publisher	IEEE
ISBN (Electronic)	9781479965571
DOIs	https://doi.org/10.1109/UPEC.2014.6934673
Publication status	Published - 22 Oct 2014
Event	49th International Universities Power Engineering Conference, UPEC 2014 - Cluj-Napoca, Romania Duration: 2 Sept 2014 → 5 Sept 2014

Conference

Conference	49th International Universities Power Engineering Conference, UPEC 2014
Country/Territory	Romania
City	Cluj-Napoca
Period	2/09/14 → 5/09/14

Keywords

dynamic model
dynamic performance
eigenvalue analysis
microgrid
system identification

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10.1109/UPEC.2014.6934673

Cite this

@inproceedings{b429caf3dc414371a67b1b5dbc6109e7,

title = "Eigenvalue analysis of microgrids using linearization and system identification techniques",

abstract = "In this paper the dynamic behavior of a microgrid is investigated using eigenanalysis and system identification techniques. A detailed nonlinear model of the microgrid is developed in Matlab/Simulink and is used to obtain a linearized approximation to perform eigenanalysis. Moreover, the system eigenvalues are also analyzed by applying a system identification technique on the dynamic responses. The results from both methods are compared and evaluated. A microgrid with rotating and inverter-interfaced units is studied and results for various operating scenarios, such as changes in the synchronous generators torque, load changes and changes in the inverters setpoints, are presented. The influence of each parameter change on the system eigenvalues is highlighted.",

keywords = "dynamic model, dynamic performance, eigenvalue analysis, microgrid, system identification",

author = "Liaka, \{Kali A.\} and Tsagkari, \{Kleopatra Z.\} and Papadopoulos, \{Panagiotis N.\} and Papadopoulos, \{Theofilos A.\} and Papagiannis, \{Grigoris K.\}",

year = "2014",

month = oct,

day = "22",

doi = "10.1109/UPEC.2014.6934673",

language = "English",

booktitle = "Power Engineering Conference (UPEC), 2014 49th International Universities",

publisher = "IEEE",

note = "49th International Universities Power Engineering Conference, UPEC 2014 ; Conference date: 02-09-2014 Through 05-09-2014",

}

Liaka, KA, Tsagkari, KZ, Papadopoulos, PN, Papadopoulos, TA & Papagiannis, GK 2014, Eigenvalue analysis of microgrids using linearization and system identification techniques. in Power Engineering Conference (UPEC), 2014 49th International Universities., 6934673, IEEE, Piscataway, NJ., 49th International Universities Power Engineering Conference, UPEC 2014, Cluj-Napoca, Romania, 2/09/14. https://doi.org/10.1109/UPEC.2014.6934673

Eigenvalue analysis of microgrids using linearization and system identification techniques. / Liaka, Kali A.; Tsagkari, Kleopatra Z.; Papadopoulos, Panagiotis N. et al.
Power Engineering Conference (UPEC), 2014 49th International Universities. Piscataway, NJ.: IEEE, 2014. 6934673.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Eigenvalue analysis of microgrids using linearization and system identification techniques

AU - Liaka, Kali A.

AU - Tsagkari, Kleopatra Z.

AU - Papadopoulos, Panagiotis N.

AU - Papadopoulos, Theofilos A.

AU - Papagiannis, Grigoris K.

PY - 2014/10/22

Y1 - 2014/10/22

N2 - In this paper the dynamic behavior of a microgrid is investigated using eigenanalysis and system identification techniques. A detailed nonlinear model of the microgrid is developed in Matlab/Simulink and is used to obtain a linearized approximation to perform eigenanalysis. Moreover, the system eigenvalues are also analyzed by applying a system identification technique on the dynamic responses. The results from both methods are compared and evaluated. A microgrid with rotating and inverter-interfaced units is studied and results for various operating scenarios, such as changes in the synchronous generators torque, load changes and changes in the inverters setpoints, are presented. The influence of each parameter change on the system eigenvalues is highlighted.

AB - In this paper the dynamic behavior of a microgrid is investigated using eigenanalysis and system identification techniques. A detailed nonlinear model of the microgrid is developed in Matlab/Simulink and is used to obtain a linearized approximation to perform eigenanalysis. Moreover, the system eigenvalues are also analyzed by applying a system identification technique on the dynamic responses. The results from both methods are compared and evaluated. A microgrid with rotating and inverter-interfaced units is studied and results for various operating scenarios, such as changes in the synchronous generators torque, load changes and changes in the inverters setpoints, are presented. The influence of each parameter change on the system eigenvalues is highlighted.

KW - dynamic model

KW - dynamic performance

KW - eigenvalue analysis

KW - microgrid

KW - system identification

UR - https://www.scopus.com/pages/publications/84910091117

U2 - 10.1109/UPEC.2014.6934673

DO - 10.1109/UPEC.2014.6934673

M3 - Conference contribution book

AN - SCOPUS:84910091117

BT - Power Engineering Conference (UPEC), 2014 49th International Universities

PB - IEEE

CY - Piscataway, NJ.

T2 - 49th International Universities Power Engineering Conference, UPEC 2014

Y2 - 2 September 2014 through 5 September 2014

ER -

Eigenvalue analysis of microgrids using linearization and system identification techniques

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Keywords

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