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

Hassan Haes Alhelou; M. E. H. Golshan; R. Zamani; M. P. Moghaddam; Takawira C. Njenda; Pierluigi Siano; Mousa Marzband

doi:10.1109/PTC.2019.8810497

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

Hassan Haes Alhelou, M. E. H. Golshan, R. Zamani, M. P. Moghaddam, Takawira C. Njenda, Pierluigi Siano, Mousa Marzband

Mathematics, Physics and Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

16 Citations (Scopus)

77 Downloads (Pure)

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.

Original language	English
Number of pages	6
DOIs	https://doi.org/10.1109/PTC.2019.8810497
Publication status	Published - 26 Aug 2019
Event	2019 IEEE Milan PowerTech - Milan, Italy Duration: 23 Jun 2019 → 27 Jun 2019

Conference

Conference	2019 IEEE Milan PowerTech
Period	23/06/19 → 27/06/19

Keywords

Disturbance estimation
frequency prediction
polynomial curve fitting
under frequency load shedding

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10.1109/PTC.2019.8810497

Alhelou et al - An Improved UFLS Scheme based on Estimated Minimum Frequency and Power Deficit AAMAccepted author manuscript, 261 KB

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title = "An Improved UFLS Scheme based on Estimated Minimum Frequency and Power Deficit",

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.",

keywords = "Disturbance estimation, frequency prediction, polynomial curve fitting, under frequency load shedding",

author = "Alhelou, {Hassan Haes} and Golshan, {M. E. H.} and R. Zamani and Moghaddam, {M. P.} and Njenda, {Takawira C.} and Pierluigi Siano and Mousa Marzband",

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AU - Alhelou, Hassan Haes

AU - Golshan, M. E. H.

AU - Zamani, R.

AU - Moghaddam, M. P.

AU - Njenda, Takawira C.

AU - Siano, Pierluigi

AU - Marzband, Mousa

PY - 2019/8/26

Y1 - 2019/8/26

N2 - 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.

AB - 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.

KW - Disturbance estimation

KW - frequency prediction

KW - polynomial curve fitting

KW - under frequency load shedding

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DO - 10.1109/PTC.2019.8810497

M3 - Paper

T2 - 2019 IEEE Milan PowerTech

Y2 - 23 June 2019 through 27 June 2019

ER -

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

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Keywords

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