Optimal fuzzy logic controller based PSO for photovoltaic system
In this study, an off-grid photovoltaic (PV) inverter generates three-phase power to supply the local load and is controlled using an optimized fuzzy logic controller (FLC) using particle swarm optimization (PSO) to control the photovoltaic system’s output. The PSO improves the three-phase inverter’...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-03-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722024258 |
| _version_ | 1797843859050332160 |
|---|---|
| author | Maher G.M. Abdolrasol Afida Ayob Ammar Hussein Mutlag Taha Selim Ustun |
| author_facet | Maher G.M. Abdolrasol Afida Ayob Ammar Hussein Mutlag Taha Selim Ustun |
| author_sort | Maher G.M. Abdolrasol |
| collection | DOAJ |
| description | In this study, an off-grid photovoltaic (PV) inverter generates three-phase power to supply the local load and is controlled using an optimized fuzzy logic controller (FLC) using particle swarm optimization (PSO) to control the photovoltaic system’s output. The PSO improves the three-phase inverter’s membership functions (MFs) by using the objective function as mean square error (MSE) for voltage at the output. The best-obtained outcome of the PSO is used to trigger the gate drives of the PWM inverter. The system has been simulated and modeled using MATLAB/Simulink to validate the performance of the proposed method and shows the best control output from the inverter and has been tested in a different types of loads. The motivation for using FLC to control the shape of MFs was about saving time consumed in trial and error. The results present an output of three-phase voltage and current waveform subjected to different loading conditions. |
| first_indexed | 2024-04-09T17:12:50Z |
| format | Article |
| id | doaj.art-929ad0107e574e3c91042692f53384e1 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-09T17:12:50Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-929ad0107e574e3c91042692f53384e12023-04-20T04:37:00ZengElsevierEnergy Reports2352-48472023-03-019427434Optimal fuzzy logic controller based PSO for photovoltaic systemMaher G.M. Abdolrasol0Afida Ayob1Ammar Hussein Mutlag2Taha Selim Ustun3Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, UKM Bangi 43600, Selangor, Malaysia; Corresponding authors.Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, UKM Bangi 43600, Selangor, MalaysiaDepartment of Computer Engineering Techniques, Electrical Engineering Technical College, Middle Technical University, Baghdad, IraqFukushima Renewable Energy Institute, AIST (FREA), Koriyama 963-0298, Japan; Corresponding authors.In this study, an off-grid photovoltaic (PV) inverter generates three-phase power to supply the local load and is controlled using an optimized fuzzy logic controller (FLC) using particle swarm optimization (PSO) to control the photovoltaic system’s output. The PSO improves the three-phase inverter’s membership functions (MFs) by using the objective function as mean square error (MSE) for voltage at the output. The best-obtained outcome of the PSO is used to trigger the gate drives of the PWM inverter. The system has been simulated and modeled using MATLAB/Simulink to validate the performance of the proposed method and shows the best control output from the inverter and has been tested in a different types of loads. The motivation for using FLC to control the shape of MFs was about saving time consumed in trial and error. The results present an output of three-phase voltage and current waveform subjected to different loading conditions.http://www.sciencedirect.com/science/article/pii/S2352484722024258Fuzzy logic controllerParticle swarm optimizationOff-grid photovoltaic systemThree-phase inverters |
| spellingShingle | Maher G.M. Abdolrasol Afida Ayob Ammar Hussein Mutlag Taha Selim Ustun Optimal fuzzy logic controller based PSO for photovoltaic system Energy Reports Fuzzy logic controller Particle swarm optimization Off-grid photovoltaic system Three-phase inverters |
| title | Optimal fuzzy logic controller based PSO for photovoltaic system |
| title_full | Optimal fuzzy logic controller based PSO for photovoltaic system |
| title_fullStr | Optimal fuzzy logic controller based PSO for photovoltaic system |
| title_full_unstemmed | Optimal fuzzy logic controller based PSO for photovoltaic system |
| title_short | Optimal fuzzy logic controller based PSO for photovoltaic system |
| title_sort | optimal fuzzy logic controller based pso for photovoltaic system |
| topic | Fuzzy logic controller Particle swarm optimization Off-grid photovoltaic system Three-phase inverters |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722024258 |
| work_keys_str_mv | AT mahergmabdolrasol optimalfuzzylogiccontrollerbasedpsoforphotovoltaicsystem AT afidaayob optimalfuzzylogiccontrollerbasedpsoforphotovoltaicsystem AT ammarhusseinmutlag optimalfuzzylogiccontrollerbasedpsoforphotovoltaicsystem AT tahaselimustun optimalfuzzylogiccontrollerbasedpsoforphotovoltaicsystem |