Authors: Naresh, M. Ramalinga Raju and S. V. L. Narasimham
In this paper, a novel Modified Clonal Selection Algorithm (MCSA) has been proposed for optimal design of Conventional Power System Stabilizers (CPSS) to damp low frequency power oscillations in a multi-machine power system. Based on the process of elimination of foreign antigens by the immune cells in any biological system, this paper attempts to optimize three constants each of several Power System Stabilizers (PSS) present in New England 10-machine, 39-bus power system. A multi-objective problem has been formulated to optimize a composite set of objective functions comprising the damping factor, and the damping ratio of the lightly damped electromechanical modes. The eigenvalue analysis and nonlinear simulation results presented under a wide range of operating conditions show the effectiveness and robustness of the proposed MCSA based PSS and its ability to provide efficient damping to low frequency oscillations. Further, all these time domain simulation results have been compared with conventional and clonal selection algorithm based PSS to show the superiority of the proposed design approach.
Damping, Modified clonal selection algorithm, Multi-objective optimization, Power system stabilizer
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