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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my.ump.umpir.183132018-01-23T02:48:46Z http://umpir.ump.edu.my/id/eprint/18313/ An Intelligent Voltage Controller for a PV Inverter System Using Simulated Annealing Algorithm-Based PI Tuning Approach Najeeb, Mushtaq Muhamad, Mansor Ramdan, Razali Hamdan, Daniyal Ali, Mahmood TK Electrical engineering. Electronics Nuclear engineering 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 kr and 1; 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 minimlllll 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 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18313/1/An%20Intelligent%20Voltage%20Controller%20for%20a%20PV%20Inverter%20System%20Using%20Simulated%20Annealing%20Algorithm-Based%20PI%20Tuning%20Approach.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/18313/7/An%20Intelligent%20Voltage%20Controller%20for%20a%20PV%20Inverter%20System%20Using%20Simulated%20Annealing%20Algorithm-Based%20PI%20Tuning%20Approach%201.pdf Najeeb, Mushtaq and Muhamad, Mansor and Ramdan, Razali and Hamdan, Daniyal and Ali, Mahmood (2017) An Intelligent Voltage Controller for a PV Inverter System Using Simulated Annealing Algorithm-Based PI Tuning Approach. Journal of Engineering and Applied Sciences, 12 (3). pp. 660-669. ISSN 1816-949X http://dx.doi.org/10.3923/jeasci.2017.660.669 DOI: 10.3923/jeasci.2017.660.669 |
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TK Electrical engineering. Electronics Nuclear engineering Najeeb, Mushtaq Muhamad, Mansor Ramdan, Razali Hamdan, Daniyal Ali, Mahmood An Intelligent Voltage Controller for a PV Inverter System Using Simulated Annealing Algorithm-Based PI Tuning Approach |
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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 kr and 1; 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 minimlllll 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. |
format |
Article |
author |
Najeeb, Mushtaq Muhamad, Mansor Ramdan, Razali Hamdan, Daniyal Ali, Mahmood |
author_facet |
Najeeb, Mushtaq Muhamad, Mansor Ramdan, Razali Hamdan, Daniyal Ali, Mahmood |
author_sort |
Najeeb, Mushtaq |
title |
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_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_sort |
intelligent voltage controller for a pv inverter system using simulated annealing algorithm-based pi tuning approach |
publisher |
Medwell Journals |
publishDate |
2017 |
url |
http://umpir.ump.edu.my/id/eprint/18313/1/An%20Intelligent%20Voltage%20Controller%20for%20a%20PV%20Inverter%20System%20Using%20Simulated%20Annealing%20Algorithm-Based%20PI%20Tuning%20Approach.pdf http://umpir.ump.edu.my/id/eprint/18313/7/An%20Intelligent%20Voltage%20Controller%20for%20a%20PV%20Inverter%20System%20Using%20Simulated%20Annealing%20Algorithm-Based%20PI%20Tuning%20Approach%201.pdf http://umpir.ump.edu.my/id/eprint/18313/ http://dx.doi.org/10.3923/jeasci.2017.660.669 |
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1643668413037412352 |
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13.211869 |