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A Robust Control Scheme for Renewable-Based Distributed Generators Using Artificial Hydrocarbon Networks

Author

Listed:
  • Antonio Rosales

    (School of Engineering and Sciences, Tecnologico de Monterrey, Campus Ciudad de Mexico, Ciudad de Mexico 14380, Mexico)

  • Pedro Ponce

    (School of Engineering and Sciences, Tecnologico de Monterrey, Campus Ciudad de Mexico, Ciudad de Mexico 14380, Mexico)

  • Hiram Ponce

    (Facultad de Ingeniería, Universidad Panamericana, Ciudad de Mexico 03920, Mexico)

  • Arturo Molina

    (School of Engineering and Sciences, Tecnologico de Monterrey, Campus Ciudad de Mexico, Ciudad de Mexico 14380, Mexico)

Abstract

Distributed generators (DGs) based on renewable energy systems such as wind turbines, solar panels, and storage systems, are key in transforming the current electric grid into a green and sustainable network. These DGs are called inverter-interfaced systems because they are integrated into the grid through power converters. However, inverter-interfaced systems lack inertia, deteriorating the stability of the grid as frequency and voltage oscillations emerge. Additionally, when DGs are connected to the grid, its robustness against unbalanced conditions must to be ensured. This paper presents a robust control scheme for power regulation in DGs, which includes inertia and operates under unbalanced conditions. The proposed scheme integrates a robust control algorithm to ensured power regulation, despite unbalanced voltages. The control algorithm is an artificial hydrocarbon network controller, which is a chemically-inspired technique, based on carbon networks, that provides stability, robustness, and accuracy. The robustness and stability of the proposed control scheme are tested using Lyapunov techniques. Simulation, considering one- and three-phase voltage sags, is executed to validate the performance of the control scheme.

Suggested Citation

  • Antonio Rosales & Pedro Ponce & Hiram Ponce & Arturo Molina, 2019. "A Robust Control Scheme for Renewable-Based Distributed Generators Using Artificial Hydrocarbon Networks," Energies, MDPI, vol. 12(10), pages 1-18, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:10:p:1896-:d:232314
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    References listed on IDEAS

    as
    1. Hirsch, Adam & Parag, Yael & Guerrero, Josep, 2018. "Microgrids: A review of technologies, key drivers, and outstanding issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 402-411.
    2. Kuang-Hsiung Tan & Chien-Wu Lan, 2019. "DG System Using PFNN Controllers for Improving Islanding Detection and Power Control," Energies, MDPI, vol. 12(3), pages 1-19, February.
    3. Meiyi Li & Wentao Huang & Nengling Tai & Moduo Yu, 2018. "Lyapunov-Based Large Signal Stability Assessment for VSG Controlled Inverter-Interfaced Distributed Generators," Energies, MDPI, vol. 11(9), pages 1-15, August.
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