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A Load-Balance System Design of Microgrid Cluster Based on Hierarchical Petri Nets

Author

Listed:
  • Jose R Sicchar

    (Control and Automation Engineering Department, High School Technology, University of the Amazon State, Manaus 69050-025, Brazil)

  • Carlos T. Da Costa

    (Electrical Engineering Faculty, Institute of Technology, Federal University of Pará, Belém 66075-110, Brazil)

  • Jose R. Silva

    (Mechatronic Department, Polytechnic High School, University of São Paulo, São Paulo 05508-900, Brazil)

  • Raimundo C. Oliveira

    (Computation Engineering Department, University of the Amazon State, Manaus 69050-025, Brazil)

  • Werbeston D. Oliveira

    (Electric Engineering Department, Federal University of Amapá, Macapá, Amapá 68903-419, Brazil)

Abstract

In the new paradigm of urban microgrids, load-balancing control becomes essential to ensure the balance and quality of energy consumption. Thus, phase-load balance method becomes an alternative solution in the absence of distributed generation sources. Development of efficient and robust load-balancing control algorithms becomes useful for guaranteeing the load balance between phases and consumers, as well as to establish an automatic integration between the secondary grid and the supervisory center. This article presents a new phase-balancing control model based on hierarchical Petri nets (PNs) to encapsulate procedures and subroutines, and to verify the properties of a combined algorithm system, identifying the load imbalance in phases and improving the selection process of single-phase consumer units for switching, which is based on load-imbalance level and its future state of load consumption. A reliable flow of automated procedures is obtained, which effectively guarantees the load equalization in the low-voltage grid.

Suggested Citation

  • Jose R Sicchar & Carlos T. Da Costa & Jose R. Silva & Raimundo C. Oliveira & Werbeston D. Oliveira, 2018. "A Load-Balance System Design of Microgrid Cluster Based on Hierarchical Petri Nets," Energies, MDPI, vol. 11(12), pages 1-30, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3245-:d:184695
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    References listed on IDEAS

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    Cited by:

    1. Gheorghe Grigoraș & Bogdan-Constantin Neagu & Mihai Gavrilaș & Ion Triștiu & Constantin Bulac, 2020. "Optimal Phase Load Balancing in Low Voltage Distribution Networks Using a Smart Meter Data-Based Algorithm," Mathematics, MDPI, vol. 8(4), pages 1-29, April.
    2. R. Claudio S. Gomes & Carlos Costa & Jose Silva & Jose Sicchar, 2019. "SmartLVGrid Platform—Convergence of Legacy Low-Voltage Circuits toward the Smart Grid Paradigm," Energies, MDPI, vol. 12(13), pages 1-23, July.
    3. Anastasios Dounis, 2019. "Special Issue “Intelligent Control in Energy Systems”," Energies, MDPI, vol. 12(15), pages 1-9, August.
    4. Jorge Arias & Maria Calle & Daniel Turizo & Javier Guerrero & John E. Candelo-Becerra, 2019. "Historical Load Balance in Distribution Systems Using the Branch and Bound Algorithm," Energies, MDPI, vol. 12(7), pages 1-14, March.

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