Power system stabilizer design using Strength Pareto multi-objective optimization approach

Yassami, H.; Darabi, Abdolreza; Rafiei, S.M.R.

doi:10.1016/j.epsr.2009.12.011

Cited by 45 publications

(29 citation statements)

References 17 publications

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“…In recent years, large signal stability problems have been reported in power systems and which originated broad studies in many literatures [1][2][3][4][5]. Power system is affected by high electromechanical oscillations while a disturbance occurs, which may lead to loss of synchronism of generators.…”

Section: Introductionmentioning

confidence: 99%

Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique

Falehi¹,

Rostami²,

Mehrjadi³

2011

ENG

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In this paper, Power System Stabilizer (PSS) and Automatic Voltage Regulator (AVR) are coordinated to improve the transient stability of generator in power system. Coordinated design problem of AVR and PSS is formulated as an optimization problem. Particle Swarm Optimization (PSO) technique is an advanced robust search method by the swarming or cooperative behavior of biological populations mechanism. The performance of PSO has been certified in solution of highly non-linear objectives. Thus, PSO technique has been employed to optimize the parameters of PSS and AVR in order to reduce the power system oscillations during the load changing conditions in single-machine, infinite-bus power system. The results of nonlinear simulation suggest that, by coordinated design of AVR and PSS based on PSO technique power system oscillations are exceptionally damped. Correspondingly, it's shown that power system stability is superiorly enhanced than the uncoordinated designed of the PSS and the AVR controllers.

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Section: Introductionmentioning

confidence: 99%

Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique

Falehi¹,

Rostami²,

Mehrjadi³

2011

ENG

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“…Artificial intelligence approaches such as fuzzy logic [8][9][10], artificial neural networks [11], neuro-fuzzy [12,13] and meta-heuristic optimization methods [14][15][16][17][18][19] have been presented to design power system stabilizers. In artificial intelligence methods the PSS structure changes and a nonlinear PSS is usually obtained.…”

Section: Introductionmentioning

confidence: 99%

Multi-machine power system stabilizer design by using cultural algorithms

Khodabakhshian

Hemmati

2013

International Journal of Electrical Power & Energy Systems

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“…To gain a good transient response, the design methodology of the PSS is quite important. Ever increasing complexity of electric power systems has increased research interests in developing more suitable methodologies for power system stabilizers [27].…”

Section: Introductionmentioning

confidence: 99%