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Control Strategies for Improving Energy Efficiency and Reliability in Autonomous Microgrids with Communication Constraints

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  • Francisco Martins Portelinha Júnior

    (Radiocommunications Reference Center (CRR) - National Institute of Telecomunications (INATEL), Av. João de Camargo, 510, Santa Rita do Sapucaí 37540-000, Brazil
    Federal University of Itajubá, Av. BPS, 1903, Pinheirinho, Itajubá 37540-000, Brazil)

  • Antonio Carlos Zambroni de Souza

    (Federal University of Itajubá, Av. BPS, 1903, Pinheirinho, Itajubá 37540-000, Brazil)

  • Miguel Castilla

    (Technical University of Catalunya, 08800 Vilanova i la Geltrù, Spain)

  • Denisson Queiroz Oliveira

    (Federal University of Maranhão, Av. Portugueses 1966, São Luis 65080-805, Brazil)

  • Paulo Fernando Ribeiro

    (Federal University of Itajubá, Av. BPS, 1903, Pinheirinho, Itajubá 37540-000, Brazil)

Abstract

Microgrids are a feasible path to deploy smart grids, an intelligent and highly automated power system. Their operation demands a dedicated communication infrastructure to manage, control and monitor the intermittent sources of energy and loads. Therefore, smart devices will be connected to support the growth of grid smartness increasing the dependency on communication networks, which consumes a high amount of power. In an energy-limited scenario, one of the main issues is to enhance the power supply time. Therefore, this paper proposes a hybrid methodology for microgrid energy management, integrated with a communication infrastructure to improve and to optimize islanded microgrid operation at maximum energy efficiency. The hybrid methodology applies some control management rules, such as intentional load shedding, priority load management, and communication energy saving. These energy saving rules establish a trade-off between increasing microgrid energy availability and communication system reliability. To achieve a compromised solution, a continuous time Markov chain model describes the impact of energy saving policies into system reliability. The proposed methodology is simulated and tested with the help of the modified IEEE 34 node test-system.

Suggested Citation

  • Francisco Martins Portelinha Júnior & Antonio Carlos Zambroni de Souza & Miguel Castilla & Denisson Queiroz Oliveira & Paulo Fernando Ribeiro, 2017. "Control Strategies for Improving Energy Efficiency and Reliability in Autonomous Microgrids with Communication Constraints," Energies, MDPI, vol. 10(9), pages 1-16, September.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1443-:d:112397
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    References listed on IDEAS

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    1. Jorge J. Gomez-Sanz & Sandra Garcia-Rodriguez & Nuria Cuartero-Soler & Luis Hernandez-Callejo, 2014. "Reviewing Microgrids from a Multi-Agent Systems Perspective," Energies, MDPI, vol. 7(5), pages 1-28, May.
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    Cited by:

    1. Noelia Uribe-Pérez & Itziar Angulo & David De la Vega & Txetxu Arzuaga & Igor Fernández & Amaia Arrinda, 2017. "Smart Grid Applications for a Practical Implementation of IP over Narrowband Power Line Communications," Energies, MDPI, vol. 10(11), pages 1-16, November.
    2. Vishal Sharma & Ilsun You & Giovanni Pau & Mario Collotta & Jae Deok Lim & Jeong Nyeo Kim, 2018. "LoRaWAN-Based Energy-Efficient Surveillance by Drones for Intelligent Transportation Systems," Energies, MDPI, vol. 11(3), pages 1-26, March.

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