Abstract
This work aims to improve the stability of a system that consists of one generator using a dual-input stabilizer of a power system. For this purpose, a new design method based on a chaotic JAYA algorithm is proposed. This algorithm hybridizes the original JAYA algorithm with chaos to improve its exploration and exploitation capabilities. Indeed, the disordered numbers generated by the chaotic map are exploited to control the standard JAYA algorithm’s search equations. The issue of design is stated as an optimization problem. The proposed technique is involved in the selection of optimal values of the dual-input power system stabilizer (PSS) parameters. The efficiency of the proposed controller is assessed under various loading conditions and compared with the original JAYA, cuckoo search and particle swarm optimization (PSO) algorithms. The target function consists of the integration of absolute error multiplied by the time, including the speed deviation is considered for the controller design method. The controller tuned by a chaotic JAYA algorithm is tested using a single machine infinite bus (SMIB) power system. The findings of the simulation results demonstrate the robustness and effectiveness of the suggested method in damping oscillations over an extended range of loading conditions.
Highlights
Rocío Pérez de Prado andPower system stability becomes an important issue for the researchers in power system protection
We present a hybrid technique called the chaotic JAYA algorithm (C-JAYA) by embedding the chaos in the original JAYA algorithm
The proposed C-JAYA is exploited to find a dual-input power system stabilizer (PSS)’s optimal parameters and evaluated against a PSS controller tuned by the JAYA algorithm (JAYAPSS), PSOPSS and CSPSS
Summary
Power system stability becomes an important issue for the researchers in power system protection. The first technique to achieve good robustness of PSS is by implementing new strategies to guarantee sufficient damping of electromechanical oscillations. These methods include classical control and meta-heuristic optimization techniques. The researchers proposed several new PSS structures to improve power system stability like multi-input. Chaos as a technique has been demonstrated as a powerful approach for improving optimization algorithms’ performance [15–17]. It is defined as the study of nonlinear dynamical systems. The proposed C-JAYA is exploited to find a dual-input PSS’s optimal parameters and evaluated against a PSS controller tuned by the JAYA algorithm (JAYAPSS), PSOPSS and CSPSS.
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