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PV Module Monitoring System Based on Low-Cost Solutions: Wireless Raspberry Application and Assessment

Author

Listed:
  • José Miguel Paredes-Parra

    (Technological Center for Energy and Environment (CETENMA), 30353 Cartagena, Spain)

  • Antonio Mateo-Aroca

    (Department of Electronic Technology, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain)

  • Guillermo Silvente-Niñirola

    (Department of Electrical Engineering, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain)

  • María C. Bueso

    (Department of Applied Mathematics and Statistics, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain)

  • Ángel Molina-García

    (Department of Electrical Engineering, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain)

Abstract
The integration of renewables into power systems has led to multiple studies and analysis in terms of grid-power quality, reliability, and/or feasibility. Among different resources to be considered as alternative energy systems, wind and solar emerge as the most mature technologies. With regard to photovoltaic (PV) installations, monitoring problems requires detailed analysis, since solar-radiation fluctuations, soiling on solar panels, or deficiency of PV-panel performance can involve unexpected power-output oscillations and, subsequently, undesirable power-generation oscillations. Under this framework, this paper describes and assesses a wireless low-cost PV-module monitoring system based on open-source solutions. Our proposal allows us to monitor installations at the PV-module level, giving detailed information regarding PV power-plant performance. The proposed monitoring system is based on the IEC-61724 standard requirements, as a flexible and ad hoc solution with relevant connectivity options. Meteorological and electrical data are collected from the developed nodes and available for subsequent analysis. Detailed information of the solution, as well as extensive results collected in Spanish PV power plants connected to the grid, are also included in the paper.

Suggested Citation

  • José Miguel Paredes-Parra & Antonio Mateo-Aroca & Guillermo Silvente-Niñirola & María C. Bueso & Ángel Molina-García, 2018. "PV Module Monitoring System Based on Low-Cost Solutions: Wireless Raspberry Application and Assessment," Energies, MDPI, vol. 11(11), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3051-:d:180959
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    References listed on IDEAS

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    4. Ioana-Monica Pop-Calimanu & Septimiu Lica & Sorin Popescu & Dan Lascu & Ioan Lie & Radu Mirsu, 2019. "A New Hybrid Inductor-Based Boost DC-DC Converter Suitable for Applications in Photovoltaic Systems," Energies, MDPI, vol. 12(2), pages 1-32, January.
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    6. Ali M. Eltamaly & Mohamed A. Ahmed & Majed A. Alotaibi & Abdulrahman I. Alolah & Young-Chon Kim, 2020. "Performance of Communication Network for Monitoring Utility Scale Photovoltaic Power Plants," Energies, MDPI, vol. 13(21), pages 1-17, October.
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    8. Shaheer Ansari & Afida Ayob & Molla S. Hossain Lipu & Mohamad Hanif Md Saad & Aini Hussain, 2021. "A Review of Monitoring Technologies for Solar PV Systems Using Data Processing Modules and Transmission Protocols: Progress, Challenges and Prospects," Sustainability, MDPI, vol. 13(15), pages 1-34, July.
    9. José Miguel Paredes-Parra & Antonio Javier García-Sánchez & Antonio Mateo-Aroca & Ángel Molina-García, 2019. "An Alternative Internet-of-Things Solution Based on LoRa for PV Power Plants: Data Monitoring and Management," Energies, MDPI, vol. 12(5), pages 1-20, March.
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