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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Mohd Zaidi Mohd Tumari
Universiti Teknikal Malaysia Melaka
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

 1 
Grey wolf optimizer for identification of liquid slosh behavior using continuous-time hammerstein model Mohd Ashraf Ahmad; Zulkifli Musa; Mohd Helmi Suid; Mohd Zaidi Mohd Tumari
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (604.454 KB) | DOI: 10.11591/eei.v9i2.2074

Abstract

This paper presents the identification of liquid slosh plant using the Hammerstein model based on Grey Wolf Optimizer (GWO) method. A remote car that carrying a container of liquid is considered as the liquid slosh experimental rig. In contrast to other research works, this paper consider a piece-wise affine function in the nonlinear function of the Hammerstein model, which is more generalized function. Moreover, a continuous-time transfer function is utilized in the Hammerstein model, which is more suitable to represent a real system. The GWO method is used to tune both coefficients in the nonlinear function and transfer function of the Hammerstein model such that the error between the identified output and the real experimental output is minimized. The effectiveness of the proposed framework is assessed in terms of the convergence curve response, output response, and the stability of the identified model through the bode plot and pole zero map. The results show that the GWO based method is able to produce a Hammerstein model that yields identified output response close to the real experimental slosh output.
Optimal tuning of a wind plant energy production based on improved grey wolf optimizer Mohd Zaidi Mohd Tumari; Mohd Muzaffar Zahar; Mohd Ashraf Ahmad
Bulletin of Electrical Engineering and Informatics Vol 10, No 1: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i1.2509

Abstract

The tuning of optimal controller parameters in wind plant is crucial in order to minimize the effect of wake interaction between turbines. The purpose of this paper is to develop an improved grey wolf optimizer (I-GWO) in order to tune the controller parameters of the turbines so that the total energy production of a wind plant is increased. The updating mechanism of original GWO is modified to improve the efficiency of exploration and exploitation phase while avoiding trapping in local minima solution. A row of ten turbines is considered to evaluate the effectiveness of the I-GWO by maximizing the total energy production. The proposed approach is compared with original GWO and previously published modified GWO. Finally, I-GWO produces the highest total energy production as compared to other methods, as shown in statistical performance analysis.
Co-Authors A Shamsul Rahimi A Subki A. Shamsul Rahimi A. Subki Ab Wafi Ab Aziz Ahmad Nizammuddin Muhammad Mustafa Aiman Zakwan Jidin Amar Faiz Zainal Abidin Mohammad 'Afif Kasno Mohd Ashraf Ahmad Mohd Ashraf Ahmad Mohd Helmi Suid Mohd Helmi Suid Mohd Muzaffar Zahar Mohd Shahrieel Mohd Aras Muhammad Salihin Saealal Wan Norhisyam Abd Rashid Zulkifli Musa