Efficient Wireless Monitoring and Control of a Grid-Connected Photovoltaic System
| Autor: | Juan M. Cano, Aranzazu D. Martin, Adoración Hermoso, Juan Antonio Gómez-Galán, Jonathan Medina-García |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Maximum power principle
Computer science 020209 energy MPPT Wireless communication Low latency 02 engineering and technology lcsh:Technology Maximum power point tracking lcsh:Chemistry 0202 electrical engineering electronic engineering information engineering Grid-connected photovoltaic power system Wireless Maximum power transfer theorem General Materials Science Instrumentation lcsh:QH301-705.5 Fluid Flow and Transfer Processes business.industry lcsh:T Process Chemistry and Technology 020208 electrical & electronic engineering Photovoltaic system Photovoltaic monitoring General Engineering Electrical engineering Smart grids Converters lcsh:QC1-999 Computer Science Applications Smart grid lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 business lcsh:Engineering (General). Civil engineering (General) lcsh:Physics |
| Zdroj: | Arias Montano. Repositorio Institucional de la Universidad de Huelva instname Applied Sciences, Vol 11, Iss 2287, p 2287 (2021) Applied Sciences Volume 11 Issue 5 |
| DOI: | 10.3390/app11052287 |
| Popis: | 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%. |
| Databáze: | OpenAIRE |
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