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Modeling and Simulating Wind Energy Generation Systems by Means of Co-Simulation Techniques

Author

Listed:
  • Loan Tullio F. W. da Silva

    (Graduate Program in Electrical Engineering, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil
    Graduate Program of Electrical Engineering, Federal University of Rio de Janeiro, Rio de Janeiro 21941-972, Brazil
    These authors contributed equally to this work.)

  • Marcelo Aroca Tomim

    (Graduate Program in Electrical Engineering, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil
    These authors contributed equally to this work.)

  • Pedro Gomes Barbosa

    (Graduate Program in Electrical Engineering, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil
    These authors contributed equally to this work.)

  • Pedro Machado de Almeida

    (Graduate Program in Electrical Engineering, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil)

  • Robson Francisco da Silva Dias

    (Graduate Program of Electrical Engineering, Federal University of Rio de Janeiro, Rio de Janeiro 21941-972, Brazil)

Abstract

This paper presents the development of a wind energy conversion system co-simulation based on the Functional Mock-up Interface standard aiming at contributing to the development of co-simulation of large electrical power systems by means of open-source and standardized computational tools. Co-simulation enables the computational burden of a monolithic simulation to be shared among several processing units, significantly reducing processing time. Through the Functional Mock-up Interface standard, developed models are encapsulated into Functional Mock-up Unit, providing an extra means for the protection of intellectual property, a very appealing feature for end users, both in industry and academia. To achieve the decoupling of the subsystems, the Bergeron ideal transmission line model will be used, with travel time equal to the simulation time-step. The computational performance and effectiveness of the proposed co-simulation technique was evaluated with a wind power plant with 50 wind turbines. The system digital models were developed into Modelica language, while co-simulation was implemented in Python.

Suggested Citation

  • Loan Tullio F. W. da Silva & Marcelo Aroca Tomim & Pedro Gomes Barbosa & Pedro Machado de Almeida & Robson Francisco da Silva Dias, 2023. "Modeling and Simulating Wind Energy Generation Systems by Means of Co-Simulation Techniques," Energies, MDPI, vol. 16(19), pages 1-20, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:19:p:7013-:d:1256298
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    Cited by:

    1. Saeed Golestan & Hessam Golmohamadi & Rakesh Sinha & Florin Iov & Birgitte Bak-Jensen, 2024. "Real-Time Simulation and Hardware-in-the-Loop Testing Based on OPAL-RT ePHASORSIM: A Review of Recent Advances and a Simple Validation in EV Charging Management Systems," Energies, MDPI, vol. 17(19), pages 1-25, September.

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