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Global modern monitoring systems for PV based power generation: A review

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  • Rahman, M.Mahbubur
  • Selvaraj, J.
  • Rahim, N.A.
  • Hasanuzzaman, M.

Abstract

Photovoltaic system is widely installed to increase the share of renewable energy as well as to reduce the environmental impact of fossil fuel based energy. Photovoltaic (PV) is one of the most potential renewable energy based power generation systems. Monitoring of PV system is very important to send information that allows owners to maintain, operate and control these systems to reduce maintenance costs and to avoid unwanted electric power disruptions. Different monitoring systems have been introduced with the time following different requirements. Circuit complexity, availability of friendly graphical user interface, easy to understand system architecture, maintenance facility and customization ability for end user differ from system to system along with cost issues. This paper provides an overview of architectures and features of various PV monitoring systems based on different methods. There are various technologies for PV monitoring and control, developed as for commercial use or research tasks. It has been seen that a large portion of the work is done on classifications, for example, Internet based Monitoring using Servers, TCP/IP, GPRS and so forth. There are various methodologies for data acquisition, for example, PLC (Power Line Communication), PIC, Reference cell, National Instruments etc. Various requirements are considered while selecting a proper monitoring system for an application. Review of various monitoring technologies with system attributes and working structures have been discussed to get a clear view of merits and demerits of existing PV monitoring systems. All the systems discussed in this paper have pros and cons, and these systems were developed following different requirements. In the end, a particular cost effective monitoring system using Arduino microcontroller has been proposed considering both research and user level requirements from perspectives of cost, availability of parts/modules and features, compatibility with sensors and end-devices etc.

Suggested Citation

  • Rahman, M.Mahbubur & Selvaraj, J. & Rahim, N.A. & Hasanuzzaman, M., 2018. "Global modern monitoring systems for PV based power generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4142-4158.
    • Handle: RePEc:eee:rensus:v:82:y:2018:i:p3:p:4142-4158
    DOI: 10.1016/j.rser.2017.10.111
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    References listed on IDEAS

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    1. Aristizábal, A.J. & Gordillo, G., 2008. "Performance monitoring results of the first grid-connected BIPV system in Colombia," Renewable Energy, Elsevier, vol. 33(11), pages 2475-2484.
    2. So, Jung Hun & Jung, Young Seok & Yu, Gwon Jong & Choi, Ju Yeop & Choi, Jae Ho, 2007. "Performance results and analysis of 3kW grid-connected PV systems," Renewable Energy, Elsevier, vol. 32(11), pages 1858-1872.
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    Cited by:

    1. Carlos Toledo & Lucía Serrano-Lujan & Jose Abad & Antonio Lampitelli & Antonio Urbina, 2019. "Measurement of Thermal and Electrical Parameters in Photovoltaic Systems for Predictive and Cross-Correlated Monitorization," Energies, MDPI, vol. 12(4), pages 1-20, February.
    2. Mellit, Adel & Kalogirou, Soteris, 2021. "Artificial intelligence and internet of things to improve efficacy of diagnosis and remote sensing of solar photovoltaic systems: Challenges, recommendations and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    3. Mohammad Imran Ali & Shahi Dost & Khurram Shehzad Khattak & Muhammad Imran Khan & Riaz Muhammad, 2024. "Harnessing the Cloud: A Novel Approach to Smart Solar Plant Monitoring," Future Internet, MDPI, vol. 16(6), pages 1-22, May.
    4. Alkharusi, Tarik & Huang, Gan & Markides, Christos N., 2024. "Characterisation of soiling on glass surfaces and their impact on optical and solar photovoltaic performance," Renewable Energy, Elsevier, vol. 220(C).
    5. 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.
    6. 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.
    7. Fan, Siyuan & Wang, Yu & Cao, Shengxian & Zhao, Bo & Sun, Tianyi & Liu, Peng, 2022. "A deep residual neural network identification method for uneven dust accumulation on photovoltaic (PV) panels," Energy, Elsevier, vol. 239(PD).
    8. Václav Beránek & Tomáš Olšan & Martin Libra & Vladislav Poulek & Jan Sedláček & Minh-Quan Dang & Igor I. Tyukhov, 2018. "New Monitoring System for Photovoltaic Power Plants’ Management," Energies, MDPI, vol. 11(10), pages 1-13, September.
    9. Easter Joseph & Pradeep Menon Vijaya Kumar & Balbir Singh Mahinder Singh & Dennis Ling Chuan Ching, 2023. "Performance Monitoring Algorithm for Detection of Encapsulation Failures and Cell Corrosion in PV Modules," Energies, MDPI, vol. 16(8), pages 1-12, April.

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