An Improved UFLS Scheme based on Estimated Minimum Frequency and Power Deficit

Alhelou, Hassan Haes, Golshan, M. E. H., Zamani, R., Moghaddam, M. P., Njenda, Takawira C., Siano, Pierluigi and Marzband, Mousa (2019) An Improved UFLS Scheme based on Estimated Minimum Frequency and Power Deficit. In: 2019 IEEE Milan PowerTech, 23rd - 27th June 2019, Milan, Italy.

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Alhelou et al - An Improved UFLS Scheme based on Estimated Minimum Frequency and Power Deficit AAM.pdf - Accepted Version

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Official URL: http://dx.doi.org/10.1109/PTC.2019.8810497

Abstract

In the event of a power system disturbance, it is important that the decision to implement under frequency load shedding is based on both the minimum frequency and the magnitude of the disturbance. In this paper, we propose the use of higher order polynomial curve fitting to estimate the minimum frequency. If the prediction shows that the minimum frequency threshold will be violated, the magnitude of the total disturbance is estimated using the swing equation. In addition, the minimum amount of load that must be shed to restore the frequency just above the minimum value can also be directly calculated. Simulations are carried out for the considered Taiwan power system and the results prove the efficiency of the proposed technique.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Disturbance estimation, frequency prediction, polynomial curve fitting, under frequency load shedding
Subjects: H600 Electronic and Electrical Engineering
H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Paul Burns
Date Deposited: 13 Sep 2019 09:14
Last Modified: 11 Oct 2019 13:05
URI: http://nrl.northumbria.ac.uk/id/eprint/40675

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