Badr M. Alshammari and T. Guesmi
Optimal Design of Multimachine Power System Stabilizers Using Improved MultiObjective Particle Swarm Optimization Algorithm
1438 - 1444
2016
10
12
International Journal of Energy and Power Engineering
https://publications.waset.org/pdf/10005815
https://publications.waset.org/vol/120
World Academy of Science, Engineering and Technology
In this paper, the concept of a nondominated sorting multiobjective particle swarm optimization with local search (NSPSOLS) is presented for the optimal design of multimachine power system stabilizers (PSSs). The controller design is formulated as an optimization problem in order to shift the system electromechanical modes in a prespecified region in the splan. A composite set of objective functions comprising the damping factor and the damping ratio of the undamped and lightly damped electromechanical modes is considered. The performance of the proposed optimization algorithm is verified for the 3machine 9bus system. Simulation results based on eigenvalue analysis and nonlinear timedomain simulation show the potential and superiority of the NSPSOLS algorithm in tuning PSSs over a wide range of loading conditions and large disturbance compared to the classic PSO technique and genetic algorithms.
Open Science Index 120, 2016