Abstract
Synchronous generators are generally equipped with power system stabilizers (PSS) to damp out low frequency oscillations. Among different types of PSSs it has been recently shown that the new advanced stabilizer, called multi-band PSS (MB-PSS), has a better performance to cope with all global, inter area and local modes. All different types of PSSs are mainly designed based on one operating point of the system using a linear model. However, power system is inherently nonlinear and its operating conditions frequently change and the PSS performance may deteriorate. This paper develops a new design for MB-PSS in which the parameters are tuned by using a new Meta-heuristic optimization algorithm based on the combination of culture algorithm, particle swarm optimization (PSO) and co-evolutionary algorithms. In this new culture-PSO-co evolutionary (CPCE) algorithm, the characteristics of all three mentioned algorithms are combined and a new strong optimization technique is obtained. The proposed MB-PSS is tested on a multi-machine power system and results are compared with PSO-based MB-PSS (PSO-MB-PSS) and conventional MB-PSS (C-MB-PSS). Simulation results confirm the effectiveness of the proposed optimization tuning method for improving the power system dynamic stability.
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