Towards sustainable water pumping systems: Integration of particle swarm optimization and direct torque control PSO-DTC
This research paper focuses on the optimization of solar water pumping systems (SWPS) by combining the particle swarm optimization (PSO) technique on the generator photovoltaic (GPV) side and direct torque control (DTC) on the pump motor side. The integration of a maximum power point tracking system...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671124000627 |
| _version_ | 1797256305195352064 |
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| author | Hilali Abdelilah Mohamed Makhad Mouncef El marghichi Najib El Ouanjli Azeddine Loulijat |
| author_facet | Hilali Abdelilah Mohamed Makhad Mouncef El marghichi Najib El Ouanjli Azeddine Loulijat |
| author_sort | Hilali Abdelilah |
| collection | DOAJ |
| description | This research paper focuses on the optimization of solar water pumping systems (SWPS) by combining the particle swarm optimization (PSO) technique on the generator photovoltaic (GPV) side and direct torque control (DTC) on the pump motor side. The integration of a maximum power point tracking system (MPPT-PSO) represents a significant advance, enabling maximum power to be extracted from the GPV whatever the weather conditions. The main objective is to improve the energy efficiency of the SWPS system by maximizing the electrical power dedicated to the pumping system. At the same time, the application of DTC to the pump motor aims to optimize the use of the energy generated by the GPV. This intelligent approach adjusts the motor power according to the power extracted from the GPV, thus avoiding unsuitable profiles for the pumping system. This results in better power quality, longer system life and improved tracking speed, which in turn improves the pump's rotational speed, which in turn improves the flow rate of the water pumped. The results of the study confirm that the combination of PSO-DTC approaches improves the overall performance of the SWPS. These improvements persist under different climatic conditions. |
| first_indexed | 2024-03-07T16:53:27Z |
| format | Article |
| id | doaj.art-d462112dd16c4124b8064df6ff0f95d4 |
| institution | Directory Open Access Journal |
| issn | 2772-6711 |
| language | English |
| last_indexed | 2024-04-24T22:19:38Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| spelling | doaj.art-d462112dd16c4124b8064df6ff0f95d42024-03-20T06:12:02ZengElseviere-Prime: Advances in Electrical Engineering, Electronics and Energy2772-67112024-03-017100480Towards sustainable water pumping systems: Integration of particle swarm optimization and direct torque control PSO-DTCHilali Abdelilah0Mohamed Makhad1Mouncef El marghichi2Najib El Ouanjli3Azeddine Loulijat4Faculty of Sciences, Moulay Ismail University, Meknes 11201, Morocco; Corresponding author.Departement of Electrical Engineering, ENSAM Rabat. Mohammed V university, Rabat, MoroccoIntelligent Systems Design Laboratory (ISDL), Faculty of Science, Abdelmalek Essaadi University, Tetouan 93000, MoroccoLaboratory of Mechanical, Computer, Electronics and Telecommunications, Faculty of Sciences and Technology, Hassan First University, Settat 26000, MoroccoFaculty of Sciences and Technology, Hassan first University, FST of Settat, Km 3, B.P: 577 Road to Casablanca, Settat, MoroccoThis research paper focuses on the optimization of solar water pumping systems (SWPS) by combining the particle swarm optimization (PSO) technique on the generator photovoltaic (GPV) side and direct torque control (DTC) on the pump motor side. The integration of a maximum power point tracking system (MPPT-PSO) represents a significant advance, enabling maximum power to be extracted from the GPV whatever the weather conditions. The main objective is to improve the energy efficiency of the SWPS system by maximizing the electrical power dedicated to the pumping system. At the same time, the application of DTC to the pump motor aims to optimize the use of the energy generated by the GPV. This intelligent approach adjusts the motor power according to the power extracted from the GPV, thus avoiding unsuitable profiles for the pumping system. This results in better power quality, longer system life and improved tracking speed, which in turn improves the pump's rotational speed, which in turn improves the flow rate of the water pumped. The results of the study confirm that the combination of PSO-DTC approaches improves the overall performance of the SWPS. These improvements persist under different climatic conditions.http://www.sciencedirect.com/science/article/pii/S2772671124000627PSODTCIMSWPSMPPT |
| spellingShingle | Hilali Abdelilah Mohamed Makhad Mouncef El marghichi Najib El Ouanjli Azeddine Loulijat Towards sustainable water pumping systems: Integration of particle swarm optimization and direct torque control PSO-DTC e-Prime: Advances in Electrical Engineering, Electronics and Energy PSO DTC IM SWPS MPPT |
| title | Towards sustainable water pumping systems: Integration of particle swarm optimization and direct torque control PSO-DTC |
| title_full | Towards sustainable water pumping systems: Integration of particle swarm optimization and direct torque control PSO-DTC |
| title_fullStr | Towards sustainable water pumping systems: Integration of particle swarm optimization and direct torque control PSO-DTC |
| title_full_unstemmed | Towards sustainable water pumping systems: Integration of particle swarm optimization and direct torque control PSO-DTC |
| title_short | Towards sustainable water pumping systems: Integration of particle swarm optimization and direct torque control PSO-DTC |
| title_sort | towards sustainable water pumping systems integration of particle swarm optimization and direct torque control pso dtc |
| topic | PSO DTC IM SWPS MPPT |
| url | http://www.sciencedirect.com/science/article/pii/S2772671124000627 |
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