Monitoring of photovoltaic systems for self-consumption without over-consumption

Fuentes-Garcia, Juan de Dios; Flores-Arias, J.M.; Bellido-Outeiriño, F.J.; Quiles-Latorre, Francisco Javier; Ortiz-López, Manuel; Garrido-Zafra, Joaquín

doi:10.1109/icce-berlin47944.2019.8966189

Cited by 1 publication

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the same context, other research has integrated the WIFI module to transmit the different measured quantities of photovoltaic panels such as current, voltage and energy [19], [20], [21], [22], [23]. Noted here that in the studies used by the integrated WIFI module of the Esp32 microcontroller, the IP address is assigned dynamically by a DHCP server, so this address changes its value at each restart, this becomes a major problem and complicates the situation in the case where a web server is installed on the Esp32 microcontroller.…”

Section: Transfers Data With Wifi Modulementioning

confidence: 99%

Experimental Analysis and Monitoring of Photovoltaic Panel Parameters

Didi¹,

Azami²

2023

IJACSA

View full text Add to dashboard Cite

In this article, we establish a technique based on the internet of things to simultaneously monitor the main values that characterize a photovoltaic solar panel. This technique allows to discover the problems and the monstrosities during the operation. This study also allows to collect the parameters and quantities measured for analysis. This method is based on exploiting the advantages of IoT technology. For this it will be a good choice to use and exploit the Esp32 microcontroller, because the two WIFI and Bluetooth modules are integrated. The design process began by creating a system to measure the intensity of the electric current delivered by the photovoltaic panel. A current sensor was implemented for this purpose. To prevent damage to the microcontroller, a voltage divider was proposed to decrease the voltage at the pin level of the Esp32 for measurement. Next, the power and energy values were calculated to estimate the production capacity. In the final stage, a lowpower Bluetooth link was created to transmit the four quantities to a smartphone or other compatible device. Real-time values were presented as graphs on the free ThingSpeak platform and displayed on both, an LCD screen and the serial monitor of the Esp32 microcontroller. The system was tested without any problems or errors.

show abstract