An adaptive set-point modulation technique to enhance the performance of load frequency controllers in a multi-area power system

Ketabi, Abbas; Fini, Masoud Hajiakbari

doi:10.1016/j.jesit.2015.10.001

Cited by 5 publications

(1 citation statement)

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“…Maintaining the power system frequency within the permissible limits is an important control task which in normal conditions is carried out by means of load frequency control (Hajiakbari Fini, Yousefi, & Alhelou, 2016;Ketabi & Hajiakbari Fini, 2015a;Kundur, 1994). But, when a sudden power deficit occurs as a result of outage of large generating units or islanding of some parts of power system, even if the existing generating units have enough spinning reserve to supply the demand, their response is not rapid enough to stop the frequency excursion and prevent the operation of generating units protective relays.…”

Section: Introductionmentioning

confidence: 99%

Adaptive underfrequency load shedding using particle swarm optimization algorithm

Ketabi

Fini

2017

Journal of Applied Research and Technology

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Underfrequency load shedding plays an important role in prevention of the power system blackout. The common load shedding methods are based on measuring the frequency first derivative; therefore, an error in measurement process can highly affect their performance. Also, for proper performance of these load shedding schemes, the exact value of some parameters of power system is needed. Any error in estimation of these parameters reduces the reliability of these load shedding schemes. In this paper, an underfrequency load shedding method based on the forecast minimum frequency of system is proposed. In this method, the samples of the power system frequency are taken after disturbance; then, particle swarm optimization algorithm is used to forecast the minimum frequency based on these samples. To verify the effectiveness of the proposed load shedding scheme, its performance has been compared with a newly suggested method.

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Section: Introductionmentioning

confidence: 99%