Binary Search and Fit Algorithm for Improved Voltage Stability Boundary Monitoring

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

Standard

Binary Search and Fit Algorithm for Improved Voltage Stability Boundary Monitoring. / Jørgensen, Christina Hildebrandt Luthje; Karatas, Bahtiyar Can; Jóhannsson, Hjörtur; Sommer, Stefan.

Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019. IEEE, 2019. 8905466.

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

Harvard

Jørgensen, CHL, Karatas, BC, Jóhannsson, H & Sommer, S 2019, Binary Search and Fit Algorithm for Improved Voltage Stability Boundary Monitoring. in Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019., 8905466, IEEE, 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019, Bucharest, Romania, 29/09/2019. https://doi.org/10.1109/ISGTEurope.2019.8905466

APA

Jørgensen, C. H. L., Karatas, B. C., Jóhannsson, H., & Sommer, S. (2019). Binary Search and Fit Algorithm for Improved Voltage Stability Boundary Monitoring. In Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019 [8905466] IEEE. https://doi.org/10.1109/ISGTEurope.2019.8905466

Vancouver

Jørgensen CHL, Karatas BC, Jóhannsson H, Sommer S. Binary Search and Fit Algorithm for Improved Voltage Stability Boundary Monitoring. In Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019. IEEE. 2019. 8905466 https://doi.org/10.1109/ISGTEurope.2019.8905466

Author

Jørgensen, Christina Hildebrandt Luthje ; Karatas, Bahtiyar Can ; Jóhannsson, Hjörtur ; Sommer, Stefan. / Binary Search and Fit Algorithm for Improved Voltage Stability Boundary Monitoring. Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019. IEEE, 2019.

Bibtex

@inproceedings{945e1a7816d44b4ba2ec378a556ae3ca,
title = "Binary Search and Fit Algorithm for Improved Voltage Stability Boundary Monitoring",
abstract = "This paper introduces a binary search algorithm using second order polynomial fitting to efficiently determine the maximum power transfer to a non-controlled load when accounting for variations in Th{\'e}venin voltage magnitude due to non-linearity. This is used for voltage stability boundary monitoring of a power system in real time. The binary search with polynomial fitting (BSPF) is compared to a reference algorithm, which sweeps over different load levels, and a binary search and is shown to improve both runtime and accuracy of results. The assessment method can take advantage of parallelization, which together with the BSPF algorithm makes it possible to determine a margin for each of the 2.000 non-controlled loads in a 3.000 bus test system in less than 6 seconds. This enables early detection of voltage instability in highly dynamic future smart grid based power systems.",
keywords = "Power system analysis computing, Power system stability, Real-time assessment, Th{\'e}venin equivalent",
author = "J{\o}rgensen, {Christina Hildebrandt Luthje} and Karatas, {Bahtiyar Can} and Hj{\"o}rtur J{\'o}hannsson and Stefan Sommer",
year = "2019",
doi = "10.1109/ISGTEurope.2019.8905466",
language = "English",
booktitle = "Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019",
publisher = "IEEE",
note = "2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019 ; Conference date: 29-09-2019 Through 02-10-2019",

}

RIS

TY - GEN

T1 - Binary Search and Fit Algorithm for Improved Voltage Stability Boundary Monitoring

AU - Jørgensen, Christina Hildebrandt Luthje

AU - Karatas, Bahtiyar Can

AU - Jóhannsson, Hjörtur

AU - Sommer, Stefan

PY - 2019

Y1 - 2019

N2 - This paper introduces a binary search algorithm using second order polynomial fitting to efficiently determine the maximum power transfer to a non-controlled load when accounting for variations in Thévenin voltage magnitude due to non-linearity. This is used for voltage stability boundary monitoring of a power system in real time. The binary search with polynomial fitting (BSPF) is compared to a reference algorithm, which sweeps over different load levels, and a binary search and is shown to improve both runtime and accuracy of results. The assessment method can take advantage of parallelization, which together with the BSPF algorithm makes it possible to determine a margin for each of the 2.000 non-controlled loads in a 3.000 bus test system in less than 6 seconds. This enables early detection of voltage instability in highly dynamic future smart grid based power systems.

AB - This paper introduces a binary search algorithm using second order polynomial fitting to efficiently determine the maximum power transfer to a non-controlled load when accounting for variations in Thévenin voltage magnitude due to non-linearity. This is used for voltage stability boundary monitoring of a power system in real time. The binary search with polynomial fitting (BSPF) is compared to a reference algorithm, which sweeps over different load levels, and a binary search and is shown to improve both runtime and accuracy of results. The assessment method can take advantage of parallelization, which together with the BSPF algorithm makes it possible to determine a margin for each of the 2.000 non-controlled loads in a 3.000 bus test system in less than 6 seconds. This enables early detection of voltage instability in highly dynamic future smart grid based power systems.

KW - Power system analysis computing

KW - Power system stability

KW - Real-time assessment

KW - Thévenin equivalent

UR - http://www.scopus.com/inward/record.url?scp=85075900427&partnerID=8YFLogxK

U2 - 10.1109/ISGTEurope.2019.8905466

DO - 10.1109/ISGTEurope.2019.8905466

M3 - Article in proceedings

BT - Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019

PB - IEEE

T2 - 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019

Y2 - 29 September 2019 through 2 October 2019

ER -

ID: 237757569