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Performance of Communication Network for Monitoring Utility Scale Photovoltaic Power Plants

Author

Listed:
  • Ali M. Eltamaly

    (Sustainable Energy Technologies Center, King Saud University, Riyadh 11421, Saudi Arabia
    Department of Electrical Engineering, Mansoura University, Mansoura 35516, Egypt
    Saudi Electricity Company Chair in Power System Reliability and Security, King Saud University, Riyadh 11421, Saudi Arabia)

  • Mohamed A. Ahmed

    (Department of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2390123, Chile
    Department of Communications and Electronics, Higher Institute of Engineering & Technology–King Marriott, Alexandria 23713, Egypt)

  • Majed A. Alotaibi

    (Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia)

  • Abdulrahman I. Alolah

    (Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia)

  • Young-Chon Kim

    (Department of Computer Engineering and Smart Grid Research Center, Jeonbuk National University, Jeonju 561-756, Korea)

Abstract

The grid integration of large scale photovoltaic (PV) power plants represents many challenging tasks for system stability, reliability and power quality due to the intermittent nature of solar radiation and the site accessibility issues where most PV power plants are located over a wide area. In order to enable real-time monitoring and control of large scale PV power plants, reliable two-way communications with low latency are required which provide accurate information for the electrical and environmental parameters as well as enabling the system operator to evaluate the overall performance and identify any abnormal conditions and faults. This work aims to design a communication network architecture for the remote monitoring of large-scale PV power plants based on the IEC 61850 Standard. The proposed architecture consists of three layers: the PV power system layer, the communication network layer, and the application layer. The PV power system layer consists of solar arrays, inverters, feeders, buses, a substation, and a control center. Monitoring parameters are classified into different categories including electrical measurements, status information, and meteorological data. This work considers the future plan of PV power plants in Saudi Arabia. In order to evaluate the performance of the communication network for local and remote monitoring, the OPNET Modeler is used for network modeling and simulation, and critical parameters such as network topology, link capacity, and latency are investigated and discussed. This work contributes to the design of reliable monitoring and communication of large-scale PV power plants.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5527-:d:432699
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    References listed on IDEAS

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    1. Hassan M. H. Farh & Mohd F. Othman & Ali M. Eltamaly & M. S. Al-Saud, 2018. "Maximum Power Extraction from a Partially Shaded PV System Using an Interleaved Boost Converter," Energies, MDPI, vol. 11(10), pages 1-18, September.
    2. 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.
    3. Gallardo-Calles, Jose-Maria & Colmenar-Santos, Antonio & Ontañon-Ruiz, Javier & Castro-Gil, Manuel, 2013. "Wind control centres: State of the art," Renewable Energy, Elsevier, vol. 51(C), pages 93-100.
    4. 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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    Cited by:

    1. Ali M. Eltamaly & Majed A. Alotaibi & Abdulrahman I. Alolah & Mohamed A. Ahmed, 2021. "IoT-Based Hybrid Renewable Energy System for Smart Campus," Sustainability, MDPI, vol. 13(15), pages 1-18, July.

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