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Reliability Based Genetic Algorithm Applied to Allocation of Fiber Optics Links for Power Grid Automation

Author

Listed:
  • Henrique Pires Corrêa

    (Information and Communication Engineering Group—INCOMM, School of Electrical, Mechanical and Computer Engineering, Federal University of Goiás, Goiânia 74605-010, Brazil)

  • Rafael Ribeiro de Carvalho Vaz

    (Information and Communication Engineering Group—INCOMM, School of Electrical, Mechanical and Computer Engineering, Federal University of Goiás, Goiânia 74605-010, Brazil)

  • Flávio Henrique Teles Vieira

    (Information and Communication Engineering Group—INCOMM, School of Electrical, Mechanical and Computer Engineering, Federal University of Goiás, Goiânia 74605-010, Brazil)

  • Sérgio Granato de Araújo

    (Information and Communication Engineering Group—INCOMM, School of Electrical, Mechanical and Computer Engineering, Federal University of Goiás, Goiânia 74605-010, Brazil)

Abstract

In this work, we address the problem of allocating optical links for connecting automatic circuit breakers in a utility power grid. We consider the application of multi-objective optimization for improving costs and power network reliability. To this end, we propose a novel heuristic for attributing reliability values to the optical links, which makes the optimization converge to network topologies in which nodes with higher power outage indexes receive greater communication resources. We combine our heuristic with a genetic algorithm in order to solve the optimization problem. In order to validate the proposed method, simulations are carried out with real data from the local utility. The obtained results validate the allocation heuristic and show that the proposed algorithm outperforms gradient descent optimization in terms of the provided Pareto front.

Suggested Citation

  • Henrique Pires Corrêa & Rafael Ribeiro de Carvalho Vaz & Flávio Henrique Teles Vieira & Sérgio Granato de Araújo, 2019. "Reliability Based Genetic Algorithm Applied to Allocation of Fiber Optics Links for Power Grid Automation," Energies, MDPI, vol. 12(11), pages 1-26, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2039-:d:234900
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    References listed on IDEAS

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