New Chaotic Sunflower Optimization Algorithm for Optimal Tuning of Power System Stabilizers
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ORIGINAL ARTICLE
New Chaotic Sunflower Optimization Algorithm for Optimal Tuning of Power System Stabilizers Badr M. Alshammari1 · Tawfik Guesmi1,2 Received: 7 April 2020 / Revised: 27 May 2020 / Accepted: 12 June 2020 © The Korean Institute of Electrical Engineers 2020
Abstract Purpose The problem of stability is generally caused by insufficient damping of electromechanical oscillations (EMOs). Power system stabilizers (PSSs) are the most advised and efficient devices to increase the system damping and enhance the dynamic characteristics of power networks during abnormal conditions. Unfortunately, the performance of the PSS controller is mostly dependent on the parameters of the lead-lag compensator. Within this context, this study presents a new chaoticbased sunflower optimization algorithm with local search (CSFO-LS) for optimum design of PSS controllers. Methodology In the proposed algorithm symbolized by CSFO-LS, the random parameters of the original SFO are substituted by chaotic sequences to avoid premature convergence at local optima and improve the accuracy of the optimum solution. Firstly, the CSFO-LS is tested and evaluated on various benchmark functions with different characteristics such as multimodality, separability and regularity. Then, it is applied for selecting the optimum parameters of the PSS controllers. These parameters are tuned in order to shift all electromechanical modes in a pre-specified zone in the left side of the s-plan. Results Simulation results based on eight benchmark functions show that CSFO-LS outperforms all the algorithms used for comparison. Moreover, to demonstrate the applicability and performance of the proposed method for providing good damping of low frequency oscillations, a standard power system test under various operating conditions and severe fault is used. Obtained results are compared with those obtained using the original SFO and other recent optimization techniques. Originality In this study, an improved version of the SFO is proposed for providing optimum EMOs damping. All EMOs have to be shifted as much as possible to the left side of the s-plan instead of shifting them to a fixed zone. To our best knowledge, this technique is not suggested or used for any power system problem. Keywords Chaotic sequences · Sunflower optimization algorithm · Electromechanical modes · Power system stabilizers
1 Introduction Optimization techniques have been widely employed during several years for solving various power system problems such as power scheduling, power flow, and power control problems. In recent years, power networks are becoming much larger, highly interconnected and geographically widely distributed. These facts make mathematical formulations of many practical power system problems complex, stochastic and highly nonlinear. Accordingly, the used * Badr M. Alshammari [email protected] 1
College of Engineering, University of Ha’il, Ha’il, Saudi Arabia
National Engineering School of Sfax, University of Sfax, Sfax, Tunisia
2
optimization tec
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