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Enhancing Energy Power Quality in Low-Voltage Networks Integrating Renewable Energy Generation: A Case Study in a Microgrid Laboratory

Author

Listed:
  • Edisson Villa-Ávila

    (Department of Electrical, Electronics and Telecommunications Engineering (DEET), University of Cuenca, Balzay Campus, Cuenca 010107, Ecuador
    Department of Electrical Engineering, University of Jaén, 23700 Linares, Spain)

  • Paul Arévalo

    (Department of Electrical Engineering, University of Jaén, 23700 Linares, Spain)

  • Roque Aguado

    (Department of Electrical Engineering, University of Jaén, 23700 Linares, Spain)

  • Danny Ochoa-Correa

    (Department of Electrical, Electronics and Telecommunications Engineering (DEET), University of Cuenca, Balzay Campus, Cuenca 010107, Ecuador)

  • Vinicio Iñiguez-Morán

    (Department of Electrical, Electronics and Telecommunications Engineering (DEET), University of Cuenca, Balzay Campus, Cuenca 010107, Ecuador)

  • Francisco Jurado

    (Department of Electrical Engineering, University of Jaén, 23700 Linares, Spain)

  • Marcos Tostado-Véliz

    (Department of Electrical Engineering, University of Jaén, 23700 Linares, Spain)

Abstract

Nowadays, energy decarbonization due to integrating renewable energy sources presents important challenges to overcome. The intermittent nature of photovoltaic systems reduces power quality by producing voltage variations and frequency deviations in electrical system networks, especially in weak and isolated distribution systems in developing countries. This paper presents a power smoothing method for improving the low-pass filter and moving average for grid-connected photovoltaic systems. This novel method includes state-of-charge monitoring control of the supercapacitor’s energy storage system to reduce the fluctuations of photovoltaic power at the point of common coupling. A case study for a microgrid in a high-altitude city in Ecuador is presented with exhaustive laboratory tests using real data. This research aims to improve energy power quality in electrical distribution systems to cope with the growth of renewable penetration. The results demonstrate significant power quality and stability improvements achieved through the proposed method. For instance, the power smoothing method effectively reduced power fluctuations by 16.7% with the low-pass filter, 14.05% with the ramp-rate filter, and 9.7% with the moving average filter.

Suggested Citation

  • Edisson Villa-Ávila & Paul Arévalo & Roque Aguado & Danny Ochoa-Correa & Vinicio Iñiguez-Morán & Francisco Jurado & Marcos Tostado-Véliz, 2023. "Enhancing Energy Power Quality in Low-Voltage Networks Integrating Renewable Energy Generation: A Case Study in a Microgrid Laboratory," Energies, MDPI, vol. 16(14), pages 1-23, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5386-:d:1194441
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    References listed on IDEAS

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    1. Abdullah Al Shereiqi & Amer Al-Hinai & Mohammed Albadi & Rashid Al-Abri, 2020. "Optimal Sizing of a Hybrid Wind-Photovoltaic-Battery Plant to Mitigate Output Fluctuations in a Grid-Connected System," Energies, MDPI, vol. 13(11), pages 1-21, June.
    2. Luana Pontes & Tatiane Costa & Amanda Souza & Nicolau Dantas & Andrea Vasconcelos & Guilherme Rissi & Roberto Dias & Mohamed A. Mohamed & Pierluigi Siano & Manoel Marinho, 2023. "Operational Data Analysis of a Battery Energy Storage System to Support Wind Energy Generation," Energies, MDPI, vol. 16(3), pages 1-20, February.
    3. Guglielmo D’Amico & Filippo Petroni & Salvatore Vergine, 2022. "Ramp Rate Limitation of Wind Power: An Overview," Energies, MDPI, vol. 15(16), pages 1-15, August.
    4. Wei Ma & Wei Wang & Xuezhi Wu & Ruonan Hu & Fen Tang & Weige Zhang, 2019. "Control Strategy of a Hybrid Energy Storage System to Smooth Photovoltaic Power Fluctuations Considering Photovoltaic Output Power Curtailment," Sustainability, MDPI, vol. 11(5), pages 1-22, March.
    5. Arévalo, Paul & Benavides, Dario & Tostado-Véliz, Marcos & Aguado, José A. & Jurado, Francisco, 2023. "Smart monitoring method for photovoltaic systems and failure control based on power smoothing techniques," Renewable Energy, Elsevier, vol. 205(C), pages 366-383.
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