Open AccessJournal Article
Robust Power System Stabilizer Design Using Particle Swarm Optimization Technique
TLDR
In this paper, particle swarm optimization (PSO) technique is applied to design a robust power system stabilizer (PSS), where the design problem of the proposed controller is formulated as an optimization problem and PSO is employed to search for optimal controller parameters.Abstract:
in the industry to damp out power system oscillations. In this paper, particle swarm optimization (PSO) technique is applied to design a robust power system stabilizer (PSS). The design problem of the proposed controller is formulated as an optimization problem and PSO is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor speed of the generator is involved; stability performance of the system is improved. The non-linear simulation results are presented under wide range of operating conditions; disturbances at different locations as well as for various fault clearing sequences to show the effectiveness and robustness of the proposed controller and their ability to provide efficient damping of low frequency oscillations. Further, all the simulations results are compared with a conventionally designed power system stabilizer to show the superiority of the proposed design approach. stabilizer, low frequency oscillations, power system stability.read more
Citations
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Coordinated design of PSSs and SVC via bacteria foraging optimization algorithm in a multimachine power system
Ehab S. Ali,S.M. Abd-Elazim +1 more
TL;DR: In this article, a novel algorithm for simultaneous coordinated designing of power system stabilizers (PSSs) and thyristor controlled series capacitor (TCSC) in a multimachine power system is developed.
Journal ArticleDOI
A hybrid Particle Swarm Optimization and Bacterial Foraging for optimal Power System Stabilizers design
S.M. Abd-Elazim,Ehab S. Ali +1 more
TL;DR: A novel hybrid approach involving Particle Swarm Optimization (PSO) and Bacterial Foraging Optimization Algorithm (BFOA) called Bacterial Swarmoptimization (BSO) is illustrated for optimal Power System Stabilizers (PSSs) design in a multimachine power system.
Journal ArticleDOI
Power System Stability Enhancement via Bacteria Foraging Optimization Algorithm
Sahar M. Abd-Elazim,Ehab S. Ali +1 more
TL;DR: In this article, the authors proposed a BFOA-based power system stabilizer (PSS) for the suppression of oscillations in power systems, where the proposed design problem of PSS over a wide range of loading conditions and system configurations is formulated as an optimization problem.
Journal Article
Application of artificial intelligent techniques in PSS design: A survey of the state-of-the-art methods
TL;DR: A survey of literature on the various optimization methods applied to solve the power system stabilizers problems is presented in this paper, where the authors present a survey of the literature applied to solving the PSS problems.
Journal ArticleDOI
Speed Control of Induction Motor Fed from Wind Turbine via Particle Swarm Optimization Based PI Controller
A. S. Oshaba,Ehab S. Ali +1 more
TL;DR: Simulation results emphasis on the better performance of the optimized PI controller based on PSO in compare to optimized PI controllers tuned by Genetic Algorithm over a wide range of load torque and speed wind turbine.
References
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Pole placement technique for PSS and TCSC-based stabilizer design using simulated annealing
Journal ArticleDOI
Coordinated design of a PSS and an SVC-based controller to enhance power system stability
M. A. Abido,Y.L. Abdel-Magid +1 more
TL;DR: In this paper, a robust coordinated design of a power system stabilizer and a static VAR compensator-based stabilizer is thoroughly investigated, where the real-coded genetic algorithm is employed to search for optimal controller parameters.