Applications for Future Internet. International Summit, AFI 2016, Puebla, Mexico, May 25-28, 2016, Revised Selected Papers

Research Article

Optimal Scheduling of On/Off Cycles: A Decentralized IoT-Microgrid Approach

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  • @INPROCEEDINGS{10.1007/978-3-319-49622-1_10,
        author={Fernando Lezama and Jorge Palominos and Ansel Rodr\^{\i}guez-Gonz\^{a}lez and Alessandro Farinelli and Enrique Cote},
        title={Optimal Scheduling of On/Off Cycles: A Decentralized IoT-Microgrid Approach},
        proceedings={Applications for Future Internet. International Summit, AFI 2016, Puebla, Mexico, May 25-28, 2016, Revised Selected Papers},
        proceedings_a={AFI360},
        year={2017},
        month={1},
        keywords={Multi-agent Smart Grid IoT Microgrid Optimization},
        doi={10.1007/978-3-319-49622-1_10}
    }
    
  • Fernando Lezama
    Jorge Palominos
    Ansel Rodríguez-González
    Alessandro Farinelli
    Enrique Cote
    Year: 2017
    Optimal Scheduling of On/Off Cycles: A Decentralized IoT-Microgrid Approach
    AFI360
    Springer
    DOI: 10.1007/978-3-319-49622-1_10
Fernando Lezama1,*, Jorge Palominos1,*, Ansel Rodríguez-González1,*, Alessandro Farinelli2,*, Enrique Cote1,*
  • 1: Instituto Nacional de Astrofísica, Óptica y Electrónica
  • 2: University of Verona
*Contact email: f.lezama@inaoep.mx, jpalominos@inaoep.mx, ansel@inaoep.mx, alessandro.farinelli@univr.it, jemc@inaoep.mx

Abstract

The current energy scenario requires actions towards the reduction of energy consumptions and the use of renewable resources. To this end, the energy grid is evolving towards a distributed architecture called Smart Grid (SG). Moreover, new communication paradigms, such as the Internet of Things (IoT), are being applied to the SG providing advanced communication capabilities for management and control. In this context, a microgrid is a self-sustained network that can operate connected to the SG (or in isolation). In such networks, the long-term scheduling of on/off cycles of devices is a problem that has been commonly addressed by centralized approaches. In this paper, we propose a novel IoT-microgrid architecture to model the long-term optimization scheduling problem as a distributed constraint optimization problem (DCOP). We compare different multi-agent DCOP algorithms using different window sizes showing that the proposed architecture can find optimal and near-optimal solutions for a specific case study.