A Memory-Efficient Parallelizable Method for Computation of Thévenin Equivalents Used in Real-Time Stability Assessment

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Standard

A Memory-Efficient Parallelizable Method for Computation of Thévenin Equivalents Used in Real-Time Stability Assessment. / Jorgensen, Christina Hildebrandt Luthje; Moller, Jakob Glarbo; Sommer, Stefan; Johannsson, Hjortur.

I: IEEE Transactions on Power Systems, Bind 34, Nr. 4, 8645670, 2019, s. 2675-2684.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Jorgensen, CHL, Moller, JG, Sommer, S & Johannsson, H 2019, 'A Memory-Efficient Parallelizable Method for Computation of Thévenin Equivalents Used in Real-Time Stability Assessment', IEEE Transactions on Power Systems, bind 34, nr. 4, 8645670, s. 2675-2684. https://doi.org/10.1109/TPWRS.2019.2900560

APA

Jorgensen, C. H. L., Moller, J. G., Sommer, S., & Johannsson, H. (2019). A Memory-Efficient Parallelizable Method for Computation of Thévenin Equivalents Used in Real-Time Stability Assessment. IEEE Transactions on Power Systems, 34(4), 2675-2684. [8645670]. https://doi.org/10.1109/TPWRS.2019.2900560

Vancouver

Jorgensen CHL, Moller JG, Sommer S, Johannsson H. A Memory-Efficient Parallelizable Method for Computation of Thévenin Equivalents Used in Real-Time Stability Assessment. IEEE Transactions on Power Systems. 2019;34(4):2675-2684. 8645670. https://doi.org/10.1109/TPWRS.2019.2900560

Author

Jorgensen, Christina Hildebrandt Luthje ; Moller, Jakob Glarbo ; Sommer, Stefan ; Johannsson, Hjortur. / A Memory-Efficient Parallelizable Method for Computation of Thévenin Equivalents Used in Real-Time Stability Assessment. I: IEEE Transactions on Power Systems. 2019 ; Bind 34, Nr. 4. s. 2675-2684.

Bibtex

@article{c7ab1dbb46b04b8d9182c4ef2cc4a44d,
title = "A Memory-Efficient Parallelizable Method for Computation of Th{\'e}venin Equivalents Used in Real-Time Stability Assessment",
abstract = "This paper introduces a factor-solve method that efficiently computes Th{\'e}venin equivalents for all buses in the power system. A range of real-time stability assessment methods relies on Th{\'e}venin equivalents, and it is therefore essential that these methods can be determined fast and efficiently. The factor-solve method has runtime for computing Th{\'e}venin voltage that scales linearly with system size resulting in runtime of only a few milliseconds even for systems with several thousand buses. The computations only need the sparse admittance matrix for the power system and a sparse factorization resulting in low memory requirements, and furthermore, Th{\'e}venin impedances can be determined in parallel. The factor-solve method is compared to a reference method that uses coefficients for super-position to determine the Th{\'e}venin equivalents. The reference method is shown to have unsatisfactory runtime and complexity. The factor-solve method is tested, parallelized, and analyzed, which shows a considerable speedup in computations of Th{\'e}venin equivalents enabling them to be computed in real time.",
keywords = "Algorithms, power system analysis computing, real-time assessment, Th{\'e}venin equivalent",
author = "Jorgensen, {Christina Hildebrandt Luthje} and Moller, {Jakob Glarbo} and Stefan Sommer and Hjortur Johannsson",
year = "2019",
doi = "10.1109/TPWRS.2019.2900560",
language = "English",
volume = "34",
pages = "2675--2684",
journal = "IEEE Transactions on Power Systems",
issn = "0885-8950",
publisher = "Institute of Electrical and Electronics Engineers",
number = "4",

}

RIS

TY - JOUR

T1 - A Memory-Efficient Parallelizable Method for Computation of Thévenin Equivalents Used in Real-Time Stability Assessment

AU - Jorgensen, Christina Hildebrandt Luthje

AU - Moller, Jakob Glarbo

AU - Sommer, Stefan

AU - Johannsson, Hjortur

PY - 2019

Y1 - 2019

N2 - This paper introduces a factor-solve method that efficiently computes Thévenin equivalents for all buses in the power system. A range of real-time stability assessment methods relies on Thévenin equivalents, and it is therefore essential that these methods can be determined fast and efficiently. The factor-solve method has runtime for computing Thévenin voltage that scales linearly with system size resulting in runtime of only a few milliseconds even for systems with several thousand buses. The computations only need the sparse admittance matrix for the power system and a sparse factorization resulting in low memory requirements, and furthermore, Thévenin impedances can be determined in parallel. The factor-solve method is compared to a reference method that uses coefficients for super-position to determine the Thévenin equivalents. The reference method is shown to have unsatisfactory runtime and complexity. The factor-solve method is tested, parallelized, and analyzed, which shows a considerable speedup in computations of Thévenin equivalents enabling them to be computed in real time.

AB - This paper introduces a factor-solve method that efficiently computes Thévenin equivalents for all buses in the power system. A range of real-time stability assessment methods relies on Thévenin equivalents, and it is therefore essential that these methods can be determined fast and efficiently. The factor-solve method has runtime for computing Thévenin voltage that scales linearly with system size resulting in runtime of only a few milliseconds even for systems with several thousand buses. The computations only need the sparse admittance matrix for the power system and a sparse factorization resulting in low memory requirements, and furthermore, Thévenin impedances can be determined in parallel. The factor-solve method is compared to a reference method that uses coefficients for super-position to determine the Thévenin equivalents. The reference method is shown to have unsatisfactory runtime and complexity. The factor-solve method is tested, parallelized, and analyzed, which shows a considerable speedup in computations of Thévenin equivalents enabling them to be computed in real time.

KW - Algorithms

KW - power system analysis computing

KW - real-time assessment

KW - Thévenin equivalent

U2 - 10.1109/TPWRS.2019.2900560

DO - 10.1109/TPWRS.2019.2900560

M3 - Journal article

AN - SCOPUS:85067828578

VL - 34

SP - 2675

EP - 2684

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

SN - 0885-8950

IS - 4

M1 - 8645670

ER -

ID: 227131341