Flatness-Based Control for the Maximum Power Point Tracking in a Photovoltaic System
Solar energy harvesting using Photovoltaic (PV) systems is one of the most popular sources of renewable energy, however the main drawback of PV systems is their low conversion efficiency. An optimal system operation requires an efficient tracking of the Maximum Power Point (MPP), which represents th...
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| Published in | Energies (Basel) Vol. 12; no. 10; p. 1843 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Basel
MDPI AG
2019
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1996-1073 1996-1073 |
| DOI | 10.3390/en12101843 |
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| Abstract | Solar energy harvesting using Photovoltaic (PV) systems is one of the most popular sources of renewable energy, however the main drawback of PV systems is their low conversion efficiency. An optimal system operation requires an efficient tracking of the Maximum Power Point (MPP), which represents the maximum energy that can be extracted from the PV panel. This paper presents a novel control approach for the Maximum Power Point Tracking (MPPT) based on the differential flatness property of the Boost converter, which is one of the most used converters in PV systems. The underlying idea of the proposed control approach is to use the classical flatness-based trajectory tracking control where a reference voltage will be defined in terms of the maximum power provided by the PV panel. The effectiveness of the proposed controller is assessed through numerical simulations and experimental tests. The results show that the controller based on differential flatness is capable of converging in less than 0.15 s and, compared with other MPPT techniques, such as Incremental Conductance and Perturb and Observe, it improves the response against sudden changes in load or weather conditions, reducing the ringing in the output of the system. Based on the results, it can be inferred that the new flatness-based controller represents an alternative to improve the MPPT in PV systems, especially when they are subject to sudden load or weather changes. |
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| AbstractList | Nonetheless, as it has been remarked by [1], the increment in the use of PV devices in power systems has generated new challenges, such as those related with control strategies looking to provide good, even optimal, operating conditions of the PV systems. [...]the control strategies need to cope with the fact that the performance of PV systems depends on solar irradiance, ambient temperature, and load impedance [2]. Besides this, since the system parameters can be modified over time, it is necessary to periodically train a neural network to ensure its effectiveness. [...]the theoretical MPP is unknown. [...]the power experimentally obtained is close to the theoretical maximum power calculated from average values of the panel temperature. Solar energy harvesting using Photovoltaic (PV) systems is one of the most popular sources of renewable energy, however the main drawback of PV systems is their low conversion efficiency. An optimal system operation requires an efficient tracking of the Maximum Power Point (MPP), which represents the maximum energy that can be extracted from the PV panel. This paper presents a novel control approach for the Maximum Power Point Tracking (MPPT) based on the differential flatness property of the Boost converter, which is one of the most used converters in PV systems. The underlying idea of the proposed control approach is to use the classical flatness-based trajectory tracking control where a reference voltage will be defined in terms of the maximum power provided by the PV panel. The effectiveness of the proposed controller is assessed through numerical simulations and experimental tests. The results show that the controller based on differential flatness is capable of converging in less than 0.15 s and, compared with other MPPT techniques, such as Incremental Conductance and Perturb and Observe, it improves the response against sudden changes in load or weather conditions, reducing the ringing in the output of the system. Based on the results, it can be inferred that the new flatness-based controller represents an alternative to improve the MPPT in PV systems, especially when they are subject to sudden load or weather changes. |
| Author | Gil-Antonio, Leopoldo Ávila-Vilchis, Juan Carlos Martínez-Rodríguez, Pánfilo Raymundo Saldivar, Belem Portillo-Rodríguez, Otniel Martínez-Méndez, Rigoberto |
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| SubjectTerms | Algorithms Alternative energy sources Climate change differential flatness Electric power Fuzzy logic Mathematical models Methods MPPT Neural networks nonlinear control Photovoltaic cells Solar energy |
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| Title | Flatness-Based Control for the Maximum Power Point Tracking in a Photovoltaic System |
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