Partial refactorization-based machine modeling techniques for electromagnetic transients

Ulas Karaagac; J. Mahseredjian; I. Kocar; G. Soykan; O. Saad

doi:10.1109/TPWRD.2016.2529662

Partial refactorization-based machine modeling techniques for electromagnetic transients

Ulas Karaagac, J. Mahseredjian, I. Kocar, G. Soykan, O. Saad

Research output: Journal article publication › Journal article › Academic research › peer-review

2 Citations (Scopus)

Abstract

Electromagnetic transient-type (EMT-type) programs solve nodal analysis or modified-augmented-nodal-analysis (MANA) formulation-based power system network equations (PSNE). The PSNE coefficient matrix can be either constant or time varying depending on the utilized synchronous machine (SM) model. Therefore, a computational efficiency comparison for the SM models requires accounting for the refactorization scheme and the utilized sparse matrix solver (SMS). In addition, MANA formulation does not require or force admittance model usage and enables flexibility while representing the SMs in PSNE. This paper compares computational performances of various SM models for a practical case and accounts for the refactorization scheme, the utilized SMS, and the SM representation in MANA formulation.

Original language	English
Article number	7414530
Pages (from-to)	2370-2378
Number of pages	9
Journal	IEEE Transactions on Power Delivery
Volume	31
Issue number	5
DOIs	https://doi.org/10.1109/TPWRD.2016.2529662
Publication status	Published - 1 Oct 2016
Externally published	Yes

Keywords

Electromagnetic transients
modified-augmented-nodal-analysis
partial refactorization
sparse matrix solver
synchronous machine

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

More information

10.1109/TPWRD.2016.2529662

Cite this

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title = "Partial refactorization-based machine modeling techniques for electromagnetic transients",

abstract = "Electromagnetic transient-type (EMT-type) programs solve nodal analysis or modified-augmented-nodal-analysis (MANA) formulation-based power system network equations (PSNE). The PSNE coefficient matrix can be either constant or time varying depending on the utilized synchronous machine (SM) model. Therefore, a computational efficiency comparison for the SM models requires accounting for the refactorization scheme and the utilized sparse matrix solver (SMS). In addition, MANA formulation does not require or force admittance model usage and enables flexibility while representing the SMs in PSNE. This paper compares computational performances of various SM models for a practical case and accounts for the refactorization scheme, the utilized SMS, and the SM representation in MANA formulation.",

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AU - Mahseredjian, J.

AU - Kocar, I.

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AU - Saad, O.

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Partial refactorization-based machine modeling techniques for electromagnetic transients

Abstract

Keywords

ASJC Scopus subject areas

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