2017
DOI: 10.48084/etasr.1341
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Improving Power System Stability Using Transfer Function: A Comparative Analysis

Abstract: In this paper, a small-signal dynamic model of a single-machine infinite-bus (SMIB) power system that includes IEEE type-ST1 excitation system and PSS based on transfer function structure is presented. The changes in the operating condition of a power system on dynamic performance have been examined. The dynamic performance of the closed-loop system is analyzed base on its eigenvalues. The effectiveness of the parameters changes on dynamic stability is verified by simulation results. Three types of PSS have be… Show more

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Cited by 19 publications
(9 citation statements)
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“…When the absolute mismatch of any two consecutive iterates is within the desired accuracy bound ߳, then the desired solution is obtained [12].…”
Section: A Gauss-seidel (Gs) Methodsmentioning
confidence: 99%
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“…When the absolute mismatch of any two consecutive iterates is within the desired accuracy bound ߳, then the desired solution is obtained [12].…”
Section: A Gauss-seidel (Gs) Methodsmentioning
confidence: 99%
“…The PM uses only one additional midpoint of the Jacobian matrix to calculate each iteration when more than one is used in [17]. The main equations of the PM in scalar form are (11) and (12).…”
Section: A Algorithm Of the Pmmentioning
confidence: 99%
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“…The use of FACTS devices for TS was investigated in [15]. Other approaches like the use of fuzzy logic controllers [16] and harmonic function [17] have also been used to improve PSS under different conditions [18].…”
Section: Imentioning
confidence: 99%
“…Furthermore, the fixed PI parameters do not guarantee a rapid presynchronization speed due to the presence of various types of shore power boxes (Meng and Lu, 2021; Tang et al, 2020). In this regard, the PI parameters of presynchronization need to be carefully designed, which not only ensures the rapidity of presynchronization but also prevents the frequency exceeding the limit in the adjustment process (Shahgholian et al, 2017b; Shahgholian and Fattollahi, 2017a). However, the current empirical or trial-and-error methods for PI parameter selection cannot meet the above accuracy requirements.…”
Section: Introductionmentioning
confidence: 99%