Binary Search and Fit Algorithm for Improved Voltage Stability Boundary Monitoring
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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
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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