An intelligent voltage controller for a PV inverter system using simulated annealing algorithm-based PI tuning approach
This study associates an intelligent voltage controller based PI approach for PV electrical inverter by employing a meta-heuristic optimization algorithmic called a Simulated Annealing (SA) algorithm. It's outlined as a physical process of minimization which is a kind of optimization problems....
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Medwell Journals
2023
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| author | Najeeb M. Razali R. Daniyal H. Mahmood A. Mansor M. |
| author2 | 55052092300 |
| author_facet | 55052092300 Najeeb M. Razali R. Daniyal H. Mahmood A. Mansor M. |
| author_sort | Najeeb M. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This study associates an intelligent voltage controller based PI approach for PV electrical inverter by employing a meta-heuristic optimization algorithmic called a Simulated Annealing (SA) algorithm. It's outlined as a physical process of minimization which is a kind of optimization problems. During this methodology, the procedure of trial and error in getting kp and ki parameters utilized in a conventional PI controller is avoided. Besides, it is then used to optimize the PI parameters in order to get the desired output voltage of the PV electrical inverter along with the PWM method. The proposed design of the overall PV electrical inverter is modelled using simulink/code of matlab environment. As a result, firstly; to evaluate the proposed controller (SA-PI) of the PV inverter. Its performance is investigated by connecting three different loads to the system. Noted that, it is robust in terms of voltage amplitude, Total Harmonic Distortion (THD) and a minimum value of Mean Absolute Error (MAE). Secondly, the SA algorithm based PI controller generally provides a better desired output and fast response with a high convergence rate as compared with the PSO algorithm. � Medwell Journals, 2017. |
| format | Article |
| id | my.uniten.dspace-23456 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Medwell Journals |
| record_format | dspace |
| spelling | my.uniten.dspace-234562023-05-29T14:40:38Z An intelligent voltage controller for a PV inverter system using simulated annealing algorithm-based PI tuning approach Najeeb M. Razali R. Daniyal H. Mahmood A. Mansor M. 55052092300 7801616276 57191624414 57219233312 6701749037 This study associates an intelligent voltage controller based PI approach for PV electrical inverter by employing a meta-heuristic optimization algorithmic called a Simulated Annealing (SA) algorithm. It's outlined as a physical process of minimization which is a kind of optimization problems. During this methodology, the procedure of trial and error in getting kp and ki parameters utilized in a conventional PI controller is avoided. Besides, it is then used to optimize the PI parameters in order to get the desired output voltage of the PV electrical inverter along with the PWM method. The proposed design of the overall PV electrical inverter is modelled using simulink/code of matlab environment. As a result, firstly; to evaluate the proposed controller (SA-PI) of the PV inverter. Its performance is investigated by connecting three different loads to the system. Noted that, it is robust in terms of voltage amplitude, Total Harmonic Distortion (THD) and a minimum value of Mean Absolute Error (MAE). Secondly, the SA algorithm based PI controller generally provides a better desired output and fast response with a high convergence rate as compared with the PSO algorithm. � Medwell Journals, 2017. Final 2023-05-29T06:40:38Z 2023-05-29T06:40:38Z 2017 Article 10.3923/jeasci.2017.660.669 2-s2.0-85017438461 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017438461&doi=10.3923%2fjeasci.2017.660.669&partnerID=40&md5=d0c1dfa1879a1222a8f3e2ee4802f42f https://irepository.uniten.edu.my/handle/123456789/23456 12 3 660 669 Medwell Journals Scopus |
| spellingShingle | Najeeb M. Razali R. Daniyal H. Mahmood A. Mansor M. An intelligent voltage controller for a PV inverter system using simulated annealing algorithm-based PI tuning approach |
| title | An intelligent voltage controller for a PV inverter system using simulated annealing algorithm-based PI tuning approach |
| title_full | An intelligent voltage controller for a PV inverter system using simulated annealing algorithm-based PI tuning approach |
| title_fullStr | An intelligent voltage controller for a PV inverter system using simulated annealing algorithm-based PI tuning approach |
| title_full_unstemmed | An intelligent voltage controller for a PV inverter system using simulated annealing algorithm-based PI tuning approach |
| title_short | An intelligent voltage controller for a PV inverter system using simulated annealing algorithm-based PI tuning approach |
| title_sort | intelligent voltage controller for a pv inverter system using simulated annealing algorithm-based pi tuning approach |
| url_provider | http://dspace.uniten.edu.my/ |