2010
DOI: 10.1016/j.ijepes.2009.09.002
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Optimized multi area AGC simulation in restructured power systems

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Cited by 147 publications
(101 citation statements)
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“…Particle swarm optimization (PSO) algorithm has been used by Ghoshal [13] to optimize fuzzy-logic based proportional-integral-derivative (PID) controller gains in view of AGC study of power system. Also, variants of PSO have been proposed to optimize the controller gain(s) for AGC problem of multi-area power system [14][15][16][17]. The utilization of artificial bee colony algorithm in AGC study of an interconnected power system may be found in [18].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Particle swarm optimization (PSO) algorithm has been used by Ghoshal [13] to optimize fuzzy-logic based proportional-integral-derivative (PID) controller gains in view of AGC study of power system. Also, variants of PSO have been proposed to optimize the controller gain(s) for AGC problem of multi-area power system [14][15][16][17]. The utilization of artificial bee colony algorithm in AGC study of an interconnected power system may be found in [18].…”
Section: Literature Reviewmentioning
confidence: 99%
“…These new information signals where absent in the traditional LFC scheme. As there are many GENCOs in each area, the ACE signals have to be distributed among them due to their ACE participation factor in LFC [16].…”
Section: Figure1mentioning
confidence: 99%
“…The stabilization of frequency oscillations in an interconnected power system [26] becomes challenging when implements in the future competitive environment. advanced economic, high efficiency and improved control schemes [21,22] are required to ensure the power system reliability. The conventional load-frequency controller may no longer be able to attenuate the large frequency oscillation due to the slow response of the governor [24,25].…”
Section: Introductionmentioning
confidence: 99%