Efficient Wireless Monitoring and Control of a Grid-Connected Photovoltaic System
The design, monitoring, and control of photovoltaic (PV) systems are complex tasks that are often handled together, and they are made even more difficult by introducing features such as real-time, sensor-based operation, wireless communication, and multiple sensor nodes. This paper proposes an integ...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/5/2287 |
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| author | Jonathan Medina-García Aránzazu D. Martín Juan M. Cano Juan A. Gómez-Galán Adoración Hermoso |
| author_facet | Jonathan Medina-García Aránzazu D. Martín Juan M. Cano Juan A. Gómez-Galán Adoración Hermoso |
| author_sort | Jonathan Medina-García |
| collection | DOAJ |
| description | The design, monitoring, and control of photovoltaic (PV) systems are complex tasks that are often handled together, and they are made even more difficult by introducing features such as real-time, sensor-based operation, wireless communication, and multiple sensor nodes. This paper proposes an integrated approach to handle these tasks, in order to achieve a system efficient in tracking the maximum power and injecting the energy from the PV modules to the grid in the correct way. Control is performed by means of an adaptive Lyapunov maximum power point tracking (MPPT) algorithm for the DC/DC converters and a proportional integral (PI) control for the inverters, which are applied to the system using low latency wireless technology. The system solution exploits a low-cost wireless multi-sensor architecture installed in each DC/DC converter and in each inverter and equipped with voltage, current, irradiance, and temperature sensors. A host node provides effective control, management, and coordination of two relatively independent wireless sensor systems. Experimental validation shows that the controllers ensure maximum power transfer to the grid, injecting low harmonic distortion current, thus guaranteeing the robustness and stability of the system. The results verified that the MPPT efficiency is over 99%, even under perturbations and using wireless communication. Moreover, the converters’ efficiency remains high, i.e., for the DC/DC converter a mean value of 95.5% and for the inverter 93.3%. |
| first_indexed | 2024-03-09T05:31:06Z |
| format | Article |
| id | doaj.art-3f5531d2cb084281899f30c1ed7ef861 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T05:31:06Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-3f5531d2cb084281899f30c1ed7ef8612023-12-03T12:32:46ZengMDPI AGApplied Sciences2076-34172021-03-01115228710.3390/app11052287Efficient Wireless Monitoring and Control of a Grid-Connected Photovoltaic SystemJonathan Medina-García0Aránzazu D. Martín1Juan M. Cano2Juan A. Gómez-Galán3Adoración Hermoso4Department of Electronic Engineering, Computer Systems and Automatics, University of Huelva, 21007 Huelva, SpainDepartment of Electrical Engineering, University of Huelva, 21007 Huelva, SpainDepartment of Electrical Engineering, University of Huelva, 21007 Huelva, SpainDepartment of Electronic Engineering, Computer Systems and Automatics, University of Huelva, 21007 Huelva, SpainDepartment of Electronic Engineering, Computer Systems and Automatics, University of Huelva, 21007 Huelva, SpainThe design, monitoring, and control of photovoltaic (PV) systems are complex tasks that are often handled together, and they are made even more difficult by introducing features such as real-time, sensor-based operation, wireless communication, and multiple sensor nodes. This paper proposes an integrated approach to handle these tasks, in order to achieve a system efficient in tracking the maximum power and injecting the energy from the PV modules to the grid in the correct way. Control is performed by means of an adaptive Lyapunov maximum power point tracking (MPPT) algorithm for the DC/DC converters and a proportional integral (PI) control for the inverters, which are applied to the system using low latency wireless technology. The system solution exploits a low-cost wireless multi-sensor architecture installed in each DC/DC converter and in each inverter and equipped with voltage, current, irradiance, and temperature sensors. A host node provides effective control, management, and coordination of two relatively independent wireless sensor systems. Experimental validation shows that the controllers ensure maximum power transfer to the grid, injecting low harmonic distortion current, thus guaranteeing the robustness and stability of the system. The results verified that the MPPT efficiency is over 99%, even under perturbations and using wireless communication. Moreover, the converters’ efficiency remains high, i.e., for the DC/DC converter a mean value of 95.5% and for the inverter 93.3%.https://www.mdpi.com/2076-3417/11/5/2287photovoltaic monitoringsmart gridsMPPTlow latencywireless communication |
| spellingShingle | Jonathan Medina-García Aránzazu D. Martín Juan M. Cano Juan A. Gómez-Galán Adoración Hermoso Efficient Wireless Monitoring and Control of a Grid-Connected Photovoltaic System Applied Sciences photovoltaic monitoring smart grids MPPT low latency wireless communication |
| title | Efficient Wireless Monitoring and Control of a Grid-Connected Photovoltaic System |
| title_full | Efficient Wireless Monitoring and Control of a Grid-Connected Photovoltaic System |
| title_fullStr | Efficient Wireless Monitoring and Control of a Grid-Connected Photovoltaic System |
| title_full_unstemmed | Efficient Wireless Monitoring and Control of a Grid-Connected Photovoltaic System |
| title_short | Efficient Wireless Monitoring and Control of a Grid-Connected Photovoltaic System |
| title_sort | efficient wireless monitoring and control of a grid connected photovoltaic system |
| topic | photovoltaic monitoring smart grids MPPT low latency wireless communication |
| url | https://www.mdpi.com/2076-3417/11/5/2287 |
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