Renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization

This paper proposes an improved form of chaotic based atom search optimization (IASO) algorithm by adapting one-dimensional (1D) chaotic map (tent, sine and logistic) to improve the search ability by intensifying the exploration and exploitation phase. The IASO avoids premature convergence and trapp...

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Main Authors: Irudayaraj, Andrew Xavier Raj, Abdul Wahab, Noor Izzri, Premkumar, Manoharan, Mohd Radzi, Mohd Amran, Sulaiman, Nasri, Veerasamy, Veerapandiyan, Farade, Rizwan A., Islam, Mohammad Zohrul
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Published: Elsevier 2022
Online Access:http://psasir.upm.edu.my/id/eprint/103050/
https://linkinghub.elsevier.com/retrieve/pii/S1568494622000898
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spelling my.upm.eprints.1030502024-06-30T23:36:56Z http://psasir.upm.edu.my/id/eprint/103050/ Renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization Irudayaraj, Andrew Xavier Raj Abdul Wahab, Noor Izzri Premkumar, Manoharan Mohd Radzi, Mohd Amran Sulaiman, Nasri Veerasamy, Veerapandiyan Farade, Rizwan A. Islam, Mohammad Zohrul This paper proposes an improved form of chaotic based atom search optimization (IASO) algorithm by adapting one-dimensional (1D) chaotic map (tent, sine and logistic) to improve the search ability by intensifying the exploration and exploitation phase. The IASO avoids premature convergence and trapping into local optima. Initially, the proposed IASO is validated using a classical benchmark function and its performance is compared with ASO algorithm. Test results indicate that the proposed algorithm outperforms in terms of mean, standard deviation, and best values. Further, the proposed technique is used to design the parameters of fractional-order proportional integral derivative controller for automatic load frequency control (ALFC) of multi-area, multi-source hybrid power system (HPS) by minimizing the integral time absolute error. The results obtained show that the proposed control scheme improves the frequency response of the system by 48 %, 70 %, 15 % and 69 % in terms of settling time, peak undershoot, steady state error value and control effort, respectively compared to ASO. Moreover, the sensitivity analysis is carried out by considering ±25 % variation in HPS parameters and the real-time applicability is tested with Malaysian meteorological data of solar radiation and wind speed variation. These analysis indicates that the transient oscillations are damped out with minimum settling time and the system regains to stable operating conditions. Further, the evaluation of transient and steady-state performance indices shows that the tent map-based IASO is found to be more efficient for obtaining the optimal solution in solving the ALFC problems. In addition, the stability of the system is analysed by approximating the fractional-order transfer function based on the oustaloup filter in frequency domain. Elsevier 2022 Article PeerReviewed Irudayaraj, Andrew Xavier Raj and Abdul Wahab, Noor Izzri and Premkumar, Manoharan and Mohd Radzi, Mohd Amran and Sulaiman, Nasri and Veerasamy, Veerapandiyan and Farade, Rizwan A. and Islam, Mohammad Zohrul (2022) Renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization. Applied Soft Computing, 119. art. no. 108574. pp. 1-17. ISSN 1568-4946; ESSN: 1872-9681 https://linkinghub.elsevier.com/retrieve/pii/S1568494622000898 10.1016/j.asoc.2022.108574
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description This paper proposes an improved form of chaotic based atom search optimization (IASO) algorithm by adapting one-dimensional (1D) chaotic map (tent, sine and logistic) to improve the search ability by intensifying the exploration and exploitation phase. The IASO avoids premature convergence and trapping into local optima. Initially, the proposed IASO is validated using a classical benchmark function and its performance is compared with ASO algorithm. Test results indicate that the proposed algorithm outperforms in terms of mean, standard deviation, and best values. Further, the proposed technique is used to design the parameters of fractional-order proportional integral derivative controller for automatic load frequency control (ALFC) of multi-area, multi-source hybrid power system (HPS) by minimizing the integral time absolute error. The results obtained show that the proposed control scheme improves the frequency response of the system by 48 %, 70 %, 15 % and 69 % in terms of settling time, peak undershoot, steady state error value and control effort, respectively compared to ASO. Moreover, the sensitivity analysis is carried out by considering ±25 % variation in HPS parameters and the real-time applicability is tested with Malaysian meteorological data of solar radiation and wind speed variation. These analysis indicates that the transient oscillations are damped out with minimum settling time and the system regains to stable operating conditions. Further, the evaluation of transient and steady-state performance indices shows that the tent map-based IASO is found to be more efficient for obtaining the optimal solution in solving the ALFC problems. In addition, the stability of the system is analysed by approximating the fractional-order transfer function based on the oustaloup filter in frequency domain.
format Article
author Irudayaraj, Andrew Xavier Raj
Abdul Wahab, Noor Izzri
Premkumar, Manoharan
Mohd Radzi, Mohd Amran
Sulaiman, Nasri
Veerasamy, Veerapandiyan
Farade, Rizwan A.
Islam, Mohammad Zohrul
spellingShingle Irudayaraj, Andrew Xavier Raj
Abdul Wahab, Noor Izzri
Premkumar, Manoharan
Mohd Radzi, Mohd Amran
Sulaiman, Nasri
Veerasamy, Veerapandiyan
Farade, Rizwan A.
Islam, Mohammad Zohrul
Renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization
author_facet Irudayaraj, Andrew Xavier Raj
Abdul Wahab, Noor Izzri
Premkumar, Manoharan
Mohd Radzi, Mohd Amran
Sulaiman, Nasri
Veerasamy, Veerapandiyan
Farade, Rizwan A.
Islam, Mohammad Zohrul
author_sort Irudayaraj, Andrew Xavier Raj
title Renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization
title_short Renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization
title_full Renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization
title_fullStr Renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization
title_full_unstemmed Renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization
title_sort renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization
publisher Elsevier
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/103050/
https://linkinghub.elsevier.com/retrieve/pii/S1568494622000898
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score 13.211869