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Economic Management Based on Hybrid MPC for Microgrids: A Brazilian Energy Market Solution

Author

Listed:
  • Eduardo Conte

    (Department of Automation and Systems, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil)

  • Paulo R. C. Mendes

    (Fraunhofer ITWM, 67663 Kaiserslautern, Germany)

  • Julio E. Normey-Rico

    (Department of Automation and Systems, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil)

Abstract

This paper proposes a microgrid central controller (MGCC) solution to the energy management problem of a renewable energy-based microgrid (MG). This MG is a case study from the Brazilian energy market context and, thus, has some operational particularities and rules to be obeyed. The MGCC development was based on a hybrid model predictive control (HMPC) strategy using the mixed logical dynamic (MLD) approach to deal with logical constraints within the HMPC structure, which results in a mixed integer programming (MIP) problem. The development of the solution is done through economic and dynamic modeling of the MG components; furthermore, it also takes into account the energy compensation rules of the Brazilian energy market and the white energy tariff. These conditions are specified through a set of MLD constraints. The effectiveness and performance of the proposed solution are evaluated through high-fidelity numerical simulation.

Suggested Citation

  • Eduardo Conte & Paulo R. C. Mendes & Julio E. Normey-Rico, 2020. "Economic Management Based on Hybrid MPC for Microgrids: A Brazilian Energy Market Solution," Energies, MDPI, vol. 13(13), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3508-:d:381502
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    References listed on IDEAS

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    1. Alessandro Labella & Filip Filipovic & Milutin Petronijevic & Andrea Bonfiglio & Renato Procopio, 2020. "An MPC Approach for Grid-Forming Inverters: Theory and Experiment," Energies, MDPI, vol. 13(9), pages 1-17, May.
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    Cited by:

    1. Ahmed Saad & Samy Faddel & Osama Mohammed, 2020. "IoT-Based Digital Twin for Energy Cyber-Physical Systems: Design and Implementation," Energies, MDPI, vol. 13(18), pages 1-21, September.
    2. Rodrigo Antonio Sbardeloto Kraemer & Douglas Pereira Dias & Alisson Carlos da Silva & Marcos Aurelio Izumida Martins & Mathias Arno Ludwig, 2022. "Cost and Cybersecurity Challenges in the Commissioning of Microgrids in Critical Infrastructure: COGE Case Study," Energies, MDPI, vol. 15(8), pages 1-14, April.
    3. Pedro Henrique Valderrama Bento da Silva & Eduardo Camponogara & Laio Oriel Seman & Gabriel Villarrubia González & Valderi Reis Quietinho Leithardt, 2020. "Decompositions for MPC of Linear Dynamic Systems with Activation Constraints," Energies, MDPI, vol. 13(21), pages 1-26, November.

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