Parameter optimization of power system stabilizers via kidney-inspired algorithm

Ekinci, Serdar; Demirören, Ayşen; Hekimoğlu, Baran

doi:10.1177/0142331218780947

Cited by 47 publications

(28 citation statements)

References 43 publications

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“…Better results may be achieved with different optimization approaches. However, these algorithms have disadvantages such as local minimum stagnation, early convergence, difficulty in the selection of control parameters and increased calculation time depending on the size of the system studied [49]- [51]. In addition, there is no precise algorithm for the best solution of the controller parameters in a DC motor speed control system.…”

Section: Introductionmentioning

confidence: 99%

Optimal Tuning of Fractional Order PID Controller for DC Motor Speed Control via Chaotic Atom Search Optimization Algorithm

2019

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In this paper, atom search optimization (ASO) algorithm and a novel chaotic version of it [chaotic ASO (ChASO)] are proposed to determine the optimal parameters of the fractional-order propor-tional+integral+derivative (FOPID) controller for dc motor speed control. The ASO algorithm is simple and easy to implement, which mathematically models and mimics the atomic motion model in nature, and is developed to address a diverse set of optimization problems. The proposed ChASO algorithm, on the other hand, is based on logistic map chaotic sequences, which makes the original algorithm be able to escape from local minima stagnation and improve its convergence rate and resulting precision. First, the proposed ChASO algorithm is applied to six unimodal and multimodal benchmark optimization problems and the results are compared with other algorithms. Second, the proposed ChASO-FOPID, ASO-FOPID, and ASO-PID controllers are compared with GWO-FOPID, GWO-PID, IWO-PID, and SFS-PID controllers using the integral of time multiplied absolute error (ITAE) objective function for a fair comparison. Comparisons were also made for the integral of time multiplied squared error (ITSE) and Zwe-Lee Gaing's (ZLG) objective function as the most commonly used objective functions in the literature. Transient response analysis, frequency response (Bode) analysis, and robustness analysis were all carried out. The simulation results are promising and validate the effectiveness of the proposed approaches. The numerical simulations of the proposed ChASO-FOPID and ASO-FOPID controllers for the dc motor speed control system demonstrated the superior performance of both the chaotic ASO and the original ASO, respectively. INDEX TERMS DC motor speed control, fractional order PID controller, chaotic atom search optimization algorithm, robustness analysis, transient response.

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Section: Introductionmentioning

confidence: 99%

Optimal Tuning of Fractional Order PID Controller for DC Motor Speed Control via Chaotic Atom Search Optimization Algorithm

2019

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“…Recently, intelligent metaheuristic optimization technique has grown and gain attention due to its superiority in solving complex high dimension, nonlinear, nondifferentiable, nonconvex, and multimodal real world problems. 15,16 Various metaheuristic optimization technique such as differential evolution (DE), 17 evolutionary programming (EP) 18 genetic algorithm (GA), 19 particle swarm optimization (PSO), 20 whale optimization algorithm (WOA), 21 salp swarm algorithm (SSA), 22 kidney-inspired algorithm (KA), 23 grasshopper optimization algorithm (GOA), 13 bacteria foraging optimization (BF), 24 sine cosine algorithm (SCA), 25 BAT algorithm (BA), 26 cuckoo search optimization (CSO), 27 artificial bee colony (ABC), 28 general relativity search algorithm (GRSA) 29 and others were developed for multimachine PSSs design. These algorithms provides good performance in to the problem of PSSs design.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of power system stabilizer for multimachine power system using farmland fertility algorithm

Sabo

Wahab

Othman

et al. 2020

Int Trans Electr Energ Syst

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Optimal design of interconnected multimachine power system with power system stabilizers (PSSs) enduring critical conditions is a challenging assignment due to several nonlinear dynamic device and components associated to the system. In this research, the effective application and performance assessment of genetic algorithm (GA), particle swarm optimization (PSO) and a new metaheuristic-based farmland fertility algorithm (FFA) search algorithm for

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“…Finally, W and FB are combined and fr is updated. The KA has solved a number of optimization problems in previous research works [24][25][26][27][28][29][30][31][32][33][34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Dual Kidney-Inspired Algorithm for Water Quality Prediction and Cancer Detection

Abdullah

Jaddi

2020

IEEE Access

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The kidney-inspired algorithm (KA) was presented in a recent research paper as a metaheuristic search algorithm. The KA imitates the physiological process of the kidneys in the human body. The second kidney in the human body filters all the solutes if the other kidney fails. If the second kidney also gets damaged, dialysis can be performed as a treatment. The failure of a kidney is proved by the Glomerular Filtration Rate (GFR) calculation. In this paper, a Dual-population Kidney-inspired Algorithm (Dual-KA), which contributes to the enhancement of a diversity of solutions and, subsequently, better exploration of the search space, is proposed, as a research objective, in the form of a novel simulation of cooperation between kidneys in human body. If GFR is greater than 60 in each iteration, the process in Dual-KA is continued as normal. If this number is between 15 and 60, some treatment is performed. Else, if the GFR is less than 15 and the current sub-population is the first subpopulation with a GFR of less than 15, all the solutions in the current sub-population are sent to the other sub-population in the current iteration. Otherwise, a dialysis or transplant process is carried out. Dual-KA is tested on 12 known test functions, standard classification and time series datasets. Water quality prediction and cancer detection are two real-world applications of this algorithm. The mentioned algorithm is run on these problems and its high ability is proved. INDEX TERMS Dual kidney-inspired algorithm; Artificial neural network; Water quality prediction; Cancer detection.

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Parameter optimization of power system stabilizers via kidney-inspired algorithm

Cited by 47 publications

References 43 publications

Optimal Tuning of Fractional Order PID Controller for DC Motor Speed Control via Chaotic Atom Search Optimization Algorithm

Optimal Tuning of Fractional Order PID Controller for DC Motor Speed Control via Chaotic Atom Search Optimization Algorithm

Optimal design of power system stabilizer for multimachine power system using farmland fertility algorithm

Dual Kidney-Inspired Algorithm for Water Quality Prediction and Cancer Detection

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