Dual-Input Power System Stabilizer Design via JAYA Algorithm

2018 ◽  
Author(s):  
Anouar Farah ◽  
Amor Kahouli ◽  
Tawfik Guesmi ◽  
Hsan Hadj Abdallah
Keyword(s):  
Power System ◽  
Input Power ◽  
Power System Stabilizer ◽  
Jaya Algorithm ◽  
System Stabilizer

scholarly journals Robust Design of Dual-Input Power System Stabilizer Using Chaotic JAYA Algorithm

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5294
Author(s):  
Badr M. Alshammari ◽  
Anouar Farah ◽  
Khalid Alqunun ◽  
Tawfik Guesmi
Keyword(s):  
Power System ◽  
Design Method ◽  
Chaotic Map ◽  
Target Function ◽  
Cuckoo Search ◽  
Input Power ◽  
Power System Stabilizer ◽  
Jaya Algorithm ◽  
Loading Conditions ◽  
System Stabilizer

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.

Oppositional Differential Search Algorithm for the Optimal Tuning of Both Single Input and Dual Input Power System Stabilizer

2021 ◽  
pp. 256-282
Author(s):  
Sourav Paul ◽  
Provas Kumar Roy
Keyword(s):  
Power System ◽  
Search Algorithm ◽  
Low Frequency ◽  
Input Power ◽  
Power System Stabilizer ◽  
Low Frequency Oscillation ◽  
Interconnected Power System ◽  
Low Frequency Oscillations ◽  
Single Input ◽  
System Stabilizer

Low frequency oscillation has been a major threat in large interconnected power system. These low frequency oscillations curtain the power transfer capability of the line. Power system stabilizer (PSS) helps in diminishing these low frequency oscillations by providing auxiliary control signal to the generator excitation input, thereby restoring stability of the system. In this chapter, the authors have incorporated the concept of oppositional based learning (OBL) along with differential search algorithm (DSA) to solve PSS problem. The proposed technique has been implemented on both single input and dual input PSS, and comparative study has been done to show the supremacy of the proposed techniques. The convergence characteristics as well authenticate the sovereignty of the considered algorithms.

Intelligent dual input power system stabilizer

2003 ◽  
Vol 64 (3) ◽  
pp. 257-267 ◽  
Author(s):  
Avdhesh Sharma ◽  
M.L. Kothari
Keyword(s):  
Power System ◽  
Input Power ◽  
Power System Stabilizer ◽  
System Stabilizer
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