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Maximum Power Transfer of a Photovoltaic Microgeneration System Using PSO-Based Dynamic Modeling

Author

Listed:
  • Giovanny Chavez

    (Engineering Department, Universidad Politecnica Salesiana, Quito 170702, Ecuador
    These authors contributed equally to this work.)

  • Luis Tipán

    (Engineering Department, Universidad Politecnica Salesiana, Quito 170702, Ecuador
    These authors contributed equally to this work.)

Abstract

This research aims to implement an already developed algorithm to obtain the maximum power transfer of a solar generation field based on a dynamic approach. The study addresses the sizing of the load to be supplied, which is a residential building. On the other hand, it also considers the field sizing as a function of the load and the operating characteristics of the selected inverter. The irradiance data correspond to the hourly record of a station that is part of the network of meteorological stations in Quito. Quito was chosen as the location for this research due to the optimization algorithm’s practical application and the availability of experimental equipment. The demand sizing is based on the regulations of the distribution company with jurisdiction in the area, which makes it a suitable test bed for the algorithm. The optimization algorithm is developed using Python (version 3.9), and the analysis of the behavior of the solar panels is performed by dynamic modeling using the Vensim software (version 10.1.2). Finally, comparative results are presented between using and not using the investigated circuit and algorithm in the photovoltaic system, obtaining an improvement in the generation over a system without the use of these improvements, validating these results by implementing them in a test system, obtaining ranges higher than 10% of the initially generated power.

Suggested Citation

  • Giovanny Chavez & Luis Tipán, 2024. "Maximum Power Transfer of a Photovoltaic Microgeneration System Using PSO-Based Dynamic Modeling," Energies, MDPI, vol. 17(15), pages 1-26, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:15:p:3700-:d:1443948
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    References listed on IDEAS

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    1. Moazzam Ali Rabbani & Muhammad Bilal Qureshi & Salman A. Al Qahtani & Muhammad Mohsin Khan & Pranavkumar Pathak, 2023. "Enhancing MPPT Performance in Partially Shaded PV Systems under Sensor Malfunctioning with Fuzzy Control," Energies, MDPI, vol. 16(12), pages 1-16, June.
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