TY - CONF

T1 - An Improved UFLS Scheme based on Estimated Minimum Frequency and Power Deficit

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

U2 - 10.1109/PTC.2019.8810497

DO - 10.1109/PTC.2019.8810497

M3 - Paper

T2 - 2019 IEEE Milan PowerTech

Y2 - 23 June 2019 through 27 June 2019

ER -