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Monitoring System for Tracking a PV Generator in an Experimental Smart Microgrid: An Open-Source Solution

Author

Listed:
  • José María Portalo

    (Department of Electrical Engineering, Electronics and Automation, University of Extremadura, Avenida de Elvas, s/n, 06006 Badajoz, Spain)

  • Isaías González

    (Department of Electrical Engineering, Electronics and Automation, University of Extremadura, Avenida de Elvas, s/n, 06006 Badajoz, Spain)

  • Antonio José Calderón

    (Department of Electrical Engineering, Electronics and Automation, University of Extremadura, Avenida de Elvas, s/n, 06006 Badajoz, Spain)

Abstract

Smart grids and smart microgrids (SMGs) require proper monitoring for their operation. To this end, measuring, data acquisition, and storage, as well as remote online visualization of real-time information, must be performed using suitable equipment. An experimental SMG is being deployed that combines photovoltaics and the energy carrier hydrogen through the interconnection of photovoltaic panels, electrolyser, fuel cell, and load around a voltage bus powered by a lithium battery. This paper presents a monitoring system based on open-source hardware and software for tracking the temperature of the photovoltaic generator in such an SMG. In fact, the increases in temperature in PV modules lead to a decrease in their efficiency, so this parameter needs to be measured in order to monitor and evaluate the operation. Specifically, the developed monitoring system consists of a network of digital temperature sensors connected to an Arduino microcontroller, which feeds the acquired data to a Raspberry Pi microcomputer. The latter is accessed by a cloud-enabled user/operator interface implemented in Grafana. The monitoring system is expounded and experimental results are reported to validate the proposal.

Suggested Citation

  • José María Portalo & Isaías González & Antonio José Calderón, 2021. "Monitoring System for Tracking a PV Generator in an Experimental Smart Microgrid: An Open-Source Solution," Sustainability, MDPI, vol. 13(15), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8182-:d:598906
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    1. Dalibor Dobrilovic & Jasmina Pekez & Eleonora Desnica & Ljiljana Radovanovic & Ivan Palinkas & Milica Mazalica & Luka Djordjević & Sinisa Mihajlovic, 2023. "Data Acquisition for Estimating Energy-Efficient Solar-Powered Sensor Node Performance for Usage in Industrial IoT," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    2. Isidro Calvo & Aitana Espin & Jose Miguel Gil-García & Pablo Fernández Bustamante & Oscar Barambones & Estibaliz Apiñaniz, 2022. "Scalable IoT Architecture for Monitoring IEQ Conditions in Public and Private Buildings," Energies, MDPI, vol. 15(6), pages 1-23, March.
    3. Alessandro Burgio & Domenico Cimmino & Andrea Nappo & Luigi Smarrazzo & Giuseppe Donatiello, 2023. "An IoT-Based Solution for Monitoring and Controlling Battery Energy Storage Systems at Residential and Commercial Levels," Energies, MDPI, vol. 16(7), pages 1-21, March.
    4. Khaizaran Abdulhussein Al Sumarmad & Nasri Sulaiman & Noor Izzri Abdul Wahab & Hashim Hizam, 2022. "Microgrid Energy Management System Based on Fuzzy Logic and Monitoring Platform for Data Analysis," Energies, MDPI, vol. 15(11), pages 1-19, June.
    5. Kuei-Hsiang Chao & Bing-Ze Huang & Jia-Jun Jian, 2022. "An Energy Storage System Composed of Photovoltaic Arrays and Batteries with Uniform Charge/Discharge," Energies, MDPI, vol. 15(8), pages 1-23, April.

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