Design and Analysis of a Novel Dual-Input PSS for Damping of Power System Oscillations Employing RCGA-Optimization Technique

摘要

In this paper, a dual-input Power System Stabilizer (PSS) is proposed to damp the low frequency oscillations in power system. The performance of proposed dual-input PSS has been compared with single input Conventional PSS (CPSS). The Real Coded Genetic Algorithm (RCGA) optimization technique is employed to optimum tune the parameter of both the single-input and dual-input PSS in order to improve the power system stability. Having the high sufficiency to solve the very non-linear objective, the RCGA technique is exerted to solve an optimization problem. The transient performance of these devices is evaluated considering three different conditions of disturbance in single-machine infinite-bus power system. Furthermore, to more investigate the role of proposed dual-input PSS in damping the power system multi-mode oscillations, a multi-machine power system (three-machine nine-bus) is considered. The results of nonlinear simulation suggest that with proposed dual-input PSS, power system stability is considerably improved than CPSS in single-machine power system. In addition, it is revealed that with proposed dual-input PSS, undesirable inter-area and local modes of oscillations in multi machine power system are superiorly damped than CPSS.