An optimal LFC in two-area power systems using a meta-heuristic optimization algorithm

In this study, an optimal meta-heuristic optimization algorithm for load frequency control (LFC) is utilized in two-area power systems. This meta-heuristic algorithm is called harmony search (HS), it is used to tune PI controller parameters (Kp, Kt) automatically. The developed controller (HS-PI) wi...

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Main Authors: Najeeb M., Mansor M., Feyad H., Taha E., Abdullah G.
Other Authors: 55052092300
Format: Article
Published: Institute of Advanced Engineering and Science 2023
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spelling my.uniten.dspace-230302023-05-29T14:37:30Z An optimal LFC in two-area power systems using a meta-heuristic optimization algorithm Najeeb M. Mansor M. Feyad H. Taha E. Abdullah G. 55052092300 6701749037 57196187927 55490014000 57201007559 In this study, an optimal meta-heuristic optimization algorithm for load frequency control (LFC) is utilized in two-area power systems. This meta-heuristic algorithm is called harmony search (HS), it is used to tune PI controller parameters (Kp, Kt) automatically. The developed controller (HS-PI) with LFC loop is very important to minimize the system frequency and keep the system power is maintained at scheduled values under sudden loads changes. Integral absolute error (IAE) is used as an objective function to enhance the overall system performance in terms of settling time, maximum deviation, and peak time. The two-area power systems and developed controller are modelled using MATLAB software (Simulink/Code). As a result, the developed control algorithm (HS-PI) is more robustness and efficient as compared to PSO-PI control algorithm under same operation conditions. Copyright � 2017 Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T06:37:30Z 2023-05-29T06:37:30Z 2017 Article 10.11591/ijece.v7i6.pp3217-3225 2-s2.0-85032181653 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032181653&doi=10.11591%2fijece.v7i6.pp3217-3225&partnerID=40&md5=cc4c33fb95d87acd1bd5ae98cd64d4b8 https://irepository.uniten.edu.my/handle/123456789/23030 7 6 3217 3225 All Open Access, Hybrid Gold, Green Institute of Advanced Engineering and Science Scopus
institution Universiti Tenaga Nasional
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description In this study, an optimal meta-heuristic optimization algorithm for load frequency control (LFC) is utilized in two-area power systems. This meta-heuristic algorithm is called harmony search (HS), it is used to tune PI controller parameters (Kp, Kt) automatically. The developed controller (HS-PI) with LFC loop is very important to minimize the system frequency and keep the system power is maintained at scheduled values under sudden loads changes. Integral absolute error (IAE) is used as an objective function to enhance the overall system performance in terms of settling time, maximum deviation, and peak time. The two-area power systems and developed controller are modelled using MATLAB software (Simulink/Code). As a result, the developed control algorithm (HS-PI) is more robustness and efficient as compared to PSO-PI control algorithm under same operation conditions. Copyright � 2017 Institute of Advanced Engineering and Science. All rights reserved.
author2 55052092300
author_facet 55052092300
Najeeb M.
Mansor M.
Feyad H.
Taha E.
Abdullah G.
format Article
author Najeeb M.
Mansor M.
Feyad H.
Taha E.
Abdullah G.
spellingShingle Najeeb M.
Mansor M.
Feyad H.
Taha E.
Abdullah G.
An optimal LFC in two-area power systems using a meta-heuristic optimization algorithm
author_sort Najeeb M.
title An optimal LFC in two-area power systems using a meta-heuristic optimization algorithm
title_short An optimal LFC in two-area power systems using a meta-heuristic optimization algorithm
title_full An optimal LFC in two-area power systems using a meta-heuristic optimization algorithm
title_fullStr An optimal LFC in two-area power systems using a meta-heuristic optimization algorithm
title_full_unstemmed An optimal LFC in two-area power systems using a meta-heuristic optimization algorithm
title_sort optimal lfc in two-area power systems using a meta-heuristic optimization algorithm
publisher Institute of Advanced Engineering and Science
publishDate 2023
_version_ 1806424222557274112
score 13.209306