Application of power system stabilizers for enhancement of overall system stability

Kundur, P.; Klein, Milton M.; Rogers, G.J.; Zywno, Malgorzata

doi:10.1109/59.193836

Cited by 672 publications

(184 citation statements)

References 11 publications

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“…It may be due to the ease of on-line tuning, and the lack of assurance on the stability associated with some variables. To understand the effects of CPSS with different parameters on the overall dynamic performance of the power system, an extensive investigation was done by KUNDUR et al [2]. The investigation illustrated that the satisfactory performance during the system upsets is related to the appropriate choice of the CPSS parameters.…”

Section: Introductionmentioning

confidence: 99%

Power system stabilizer design using hybrid multi-objective particle swarm optimization with chaos

Eslami

Shareef

Mohamed

2011

J. Cent. South Univ. Technol.

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A novel technique for the optimal tuning of power system stabilizer (PSS) was proposed, by integrating the modified particle swarm optimization (MPSO) with the chaos (MPSOC). Firstly, a modification in the particle swarm optimization (PSO) was made by introducing passive congregation (PC). It helps each swarm member in receiving a multitude of information from other members and thus decreases the possibility of a failed attempt at detection or a meaningless search. Secondly, the MPSO and chaos were hybridized (MPSOC) to improve the global searching capability and prevent the premature convergence due to local minima. The robustness of the proposed PSS tuning technique was verified on a multi-machine power system under different operating conditions. The performance of the proposed MPSOC was compared to the MPSO, PSO and GA through eigenvalue analysis, nonlinear time-domain simulation and statistical tests. Eigenvalue analysis shows acceptable damping of the low-frequency modes and time domain simulations also show that the oscillations of synchronous machines can be rapidly damped for power systems with the proposed PSSs. The results show that the presented algorithm has a faster convergence rate with higher degree of accuracy than the GA, PSO and MPSO.

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Section: Introductionmentioning

confidence: 99%

Power system stabilizer design using hybrid multi-objective particle swarm optimization with chaos

Eslami

Shareef

Mohamed

2011

J. Cent. South Univ. Technol.

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“…Power system stabilizers (PSS) are commonly used to damp out angular oscillations in the range of 0.2-2.5 Hz associated with some poorly damped swing modes [1][2][3][4]. When designing a PSS, the effect of saturation nonlinearities introduced by the PSS input limit should be studied as it unavoidably affects the performance of PSS.…”

Section: Introductionmentioning

confidence: 99%

A method for evaluating the performance of PSS with saturated input

Xin

Gan

Chung

et al. 2007

Electric Power Systems Research

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“…There are several methods [4][5][6][7][8] to damp the oscillations. The common method is installing Power System Stabilizer (PSS) on generators.…”

Section: Introductionmentioning

confidence: 99%

Damping of power system oscillations using imperialist competition algorithm in power system equipped by HVDC

Banaei

Toloue

Kazemi

et al. 2015

Ain Shams Engineering Journal

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In this paper, a linear model of power system equipped by HVDC parallel installed with HVAC is investigated. The HVDC system is mainly composed by voltage source converters (VSC-HVDC). So, there are four adjustable variables to control the power system characteristics. In this regards, one of these variables can be used as a supplementary controller input, in order to damp the oscillations efficiently. In this work the Singular Value Decomposition (SVD) method is used to realize the most effective control input of VSC-HVDC, with the aim of low frequency oscillation damping. Besides, optimum values for supplementary controller gains, are found using imperialist competition algorithm. To confirm strength of the proposed controller, the designed controller is tested in wide range of operating condition and compared with conventional scheme. The main advantage of the proposed procedure is greatly improving the dynamic response of the system. In addition, the overshoots, undershoots and the settling times are dramatically reduced by applying the proposed method. Simulation results show the good operation of proposed method so as to damp power system oscillations.Ó 2014 Production and hosting by Elsevier B.V. on behalf of Ain Shams University.

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Application of power system stabilizers for enhancement of overall system stability

Cited by 672 publications

References 11 publications

Power system stabilizer design using hybrid multi-objective particle swarm optimization with chaos

Power system stabilizer design using hybrid multi-objective particle swarm optimization with chaos

A method for evaluating the performance of PSS with saturated input

Damping of power system oscillations using imperialist competition algorithm in power system equipped by HVDC

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