A robust MPPT approach based on first-order sliding mode for triple-junction photovoltaic power system supplying electric vehicle
This paper studies the problem of the energy system optimization for photovoltaic (PV) generator supplying the electric vehicle. The used photovoltaic generator was conceived around a high-efficiency triple-junction solar cell InGaP/InGaAs/Ge. To adopt the photovoltaic generator to the load and to t...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Energy Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723002317 |
| _version_ | 1797781898751115264 |
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| author | Salah Beni Hamed Aicha Abid Mouna Ben Hamed Lassaad Sbita Mohit Bajaj Sherif S.M. Ghoneim Hossam M. Zawbaa Salah Kamel |
| author_facet | Salah Beni Hamed Aicha Abid Mouna Ben Hamed Lassaad Sbita Mohit Bajaj Sherif S.M. Ghoneim Hossam M. Zawbaa Salah Kamel |
| author_sort | Salah Beni Hamed |
| collection | DOAJ |
| description | This paper studies the problem of the energy system optimization for photovoltaic (PV) generator supplying the electric vehicle. The used photovoltaic generator was conceived around a high-efficiency triple-junction solar cell InGaP/InGaAs/Ge. To adopt the photovoltaic generator to the load and to track the maximum power points, a DC–DC converter feeding the electric vehicle is used. Due to the nonlinearity of the PV generator’s electrical characteristics on the one hand and meteorological conditions variations and load changes, on the other hand, robust control approach is used. It is based on the sliding mode control (SMC) technique. The maximum power point tracking (MPPT) approach for a PV system is well detailed. Moreover, a stability analysis of this approach is carried out. The PV system used in the comparative study is made up of a resistive load, a boost converter, and a high efficiency PV generator. Standard test conditions, a step change in solar radiation with a constant temperature, a step change in temperature with a constant solar radiation, a step change in load and solar radiation with a constant temperature, simultaneous step changes in load, temperature, and solar radiation, and partial shading conditions are the seven case studies that are investigated. They have the aim of evaluating the effectiveness and advantages of the SMC algorithm in comparison to those of perturb and observe (P and O) and three meta-heuristic algorithms. The latters are the particle swarm optimization (PSO), flower pollination (FPA) and the cuckoo search algorithm (CSA). Obtained results show that the SMC algorithm has the ability to sufficiently and rapidly track the maximum power points in the aforementioned cases. As a result, it is used in electric vehicles. The traction part of the electric vehicle is built around a three-phase permanent magnet motor (PMSM). The control strategy is based on indirect, field-oriented control. The conceived system and the control algorithms are all implemented in Matlab/Simulink. Significant results for a wide range of speeds, including the two operating modes under step changes in environmental conditions and under strong partial shading conditions, are presented and discussed. |
| first_indexed | 2024-03-13T00:03:23Z |
| format | Article |
| id | doaj.art-ff65e932ee0b453c82f329f47aa07ecc |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-13T00:03:23Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-ff65e932ee0b453c82f329f47aa07ecc2023-07-13T05:29:40ZengElsevierEnergy Reports2352-48472023-12-01942754297A robust MPPT approach based on first-order sliding mode for triple-junction photovoltaic power system supplying electric vehicleSalah Beni Hamed0Aicha Abid1Mouna Ben Hamed2Lassaad Sbita3Mohit Bajaj4Sherif S.M. Ghoneim5Hossam M. Zawbaa6Salah Kamel7University of Tunis, Physic Department, High School of Engineers of Tunis, Tunisia; Corresponding author at: University of Tunis, Physic Department, High School of Engineers of Tunis, Tunisia.University of Gabés, National School of Engineers of Gabes, Research Unit of Energy Processes Environment and Electrical Systems, LR18ES34, 6029, Gabes, TunisiaUniversity of Gabés, Higher Institute of Industrial Systems of Gabes, 6032, Gabes, TunisiaUniversity of Gabés, National School of Engineers of Gabes, Research Unit of Energy Processes Environment and Electrical Systems, LR18ES34, 6029, Gabes, TunisiaDepartment of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun 248002, India; Graphic Era Hill University, Dehradun, 248002, IndiaDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaFaculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef, Egypt; Applied Science Research Center, Applied Science Private University, Amman, Jordan; Corresponding author at: Beni-Suef University, Egypt.Electrical Engineering Department, Faculty of Engineering, Aswan University, 81542 Aswan, EgyptThis paper studies the problem of the energy system optimization for photovoltaic (PV) generator supplying the electric vehicle. The used photovoltaic generator was conceived around a high-efficiency triple-junction solar cell InGaP/InGaAs/Ge. To adopt the photovoltaic generator to the load and to track the maximum power points, a DC–DC converter feeding the electric vehicle is used. Due to the nonlinearity of the PV generator’s electrical characteristics on the one hand and meteorological conditions variations and load changes, on the other hand, robust control approach is used. It is based on the sliding mode control (SMC) technique. The maximum power point tracking (MPPT) approach for a PV system is well detailed. Moreover, a stability analysis of this approach is carried out. The PV system used in the comparative study is made up of a resistive load, a boost converter, and a high efficiency PV generator. Standard test conditions, a step change in solar radiation with a constant temperature, a step change in temperature with a constant solar radiation, a step change in load and solar radiation with a constant temperature, simultaneous step changes in load, temperature, and solar radiation, and partial shading conditions are the seven case studies that are investigated. They have the aim of evaluating the effectiveness and advantages of the SMC algorithm in comparison to those of perturb and observe (P and O) and three meta-heuristic algorithms. The latters are the particle swarm optimization (PSO), flower pollination (FPA) and the cuckoo search algorithm (CSA). Obtained results show that the SMC algorithm has the ability to sufficiently and rapidly track the maximum power points in the aforementioned cases. As a result, it is used in electric vehicles. The traction part of the electric vehicle is built around a three-phase permanent magnet motor (PMSM). The control strategy is based on indirect, field-oriented control. The conceived system and the control algorithms are all implemented in Matlab/Simulink. Significant results for a wide range of speeds, including the two operating modes under step changes in environmental conditions and under strong partial shading conditions, are presented and discussed.http://www.sciencedirect.com/science/article/pii/S2352484723002317Electric vehicleFirst-order sliding modeMPPTMeta-heuristic approachTriple-junction solar cellOptimization |
| spellingShingle | Salah Beni Hamed Aicha Abid Mouna Ben Hamed Lassaad Sbita Mohit Bajaj Sherif S.M. Ghoneim Hossam M. Zawbaa Salah Kamel A robust MPPT approach based on first-order sliding mode for triple-junction photovoltaic power system supplying electric vehicle Energy Reports Electric vehicle First-order sliding mode MPPT Meta-heuristic approach Triple-junction solar cell Optimization |
| title | A robust MPPT approach based on first-order sliding mode for triple-junction photovoltaic power system supplying electric vehicle |
| title_full | A robust MPPT approach based on first-order sliding mode for triple-junction photovoltaic power system supplying electric vehicle |
| title_fullStr | A robust MPPT approach based on first-order sliding mode for triple-junction photovoltaic power system supplying electric vehicle |
| title_full_unstemmed | A robust MPPT approach based on first-order sliding mode for triple-junction photovoltaic power system supplying electric vehicle |
| title_short | A robust MPPT approach based on first-order sliding mode for triple-junction photovoltaic power system supplying electric vehicle |
| title_sort | robust mppt approach based on first order sliding mode for triple junction photovoltaic power system supplying electric vehicle |
| topic | Electric vehicle First-order sliding mode MPPT Meta-heuristic approach Triple-junction solar cell Optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723002317 |
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