2009
DOI: 10.1016/j.enconman.2009.06.005
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Design of output feedback UPFC controller for damping of electromechanical oscillations using PSO

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Cited by 68 publications
(37 citation statements)
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“…To optimize the parameters of the designed Wide Area Damping Controller (WADC) the Particle Swarm Optimization (PSO) method is utilized. The PSO is a population based stochastic optimization algorithm, prompted by social behavior of bird flocking or fish schooling [18]- [19]. In order to assess the capability of the PSO based damping controller in oscillations suppression, a nonoptimized conventional damping controller is also designed and enhanced to the main control loopof the unbalanced STATCOM to suppress the oscillations.Finally the proposed approach is prosperously applied in a 16-bus six-machine test system and various case studies are conducted to demonstrate the potential of the proposed approach.…”
Section: Inter-area Oscillation Damping Using An Statcom Based Hybridmentioning
confidence: 99%
“…To optimize the parameters of the designed Wide Area Damping Controller (WADC) the Particle Swarm Optimization (PSO) method is utilized. The PSO is a population based stochastic optimization algorithm, prompted by social behavior of bird flocking or fish schooling [18]- [19]. In order to assess the capability of the PSO based damping controller in oscillations suppression, a nonoptimized conventional damping controller is also designed and enhanced to the main control loopof the unbalanced STATCOM to suppress the oscillations.Finally the proposed approach is prosperously applied in a 16-bus six-machine test system and various case studies are conducted to demonstrate the potential of the proposed approach.…”
Section: Inter-area Oscillation Damping Using An Statcom Based Hybridmentioning
confidence: 99%
“…When all the particles have been moved, the next iteration will be happened. At last, the swarm, just like a school of fish that are collectively searching for food, is likely to move toward an optimum of the objective function [25,27].…”
Section: Pso Conceptmentioning
confidence: 99%
“…Recently, the PSO algorithm emerged as one of the powerful methods in managing optimization problems. PSO is counted as a population-based stochastic optimization algorithm, duplicated from the social behavior of birds or fish [26,27]. PSO not only eliminates the deficiencies of other conventional optimization methods, but it also utilizes few parameters and is easy to use.…”
Section: Introductionmentioning
confidence: 99%
“…A fixed-parameter controller with classical control may thus not be effective for a UPFC [8], [9]. In such cases a flexible controller may be required, such as one based on neural networks [6], PSO [10] and robust control methodologies [11], in order to cope with system uncertainties and enhance the damping performance of a UPFC.…”
Section: Introductionmentioning
confidence: 99%