Cooperative MPC-based Energy Management for Networked Microgrids

Alessandra Parisio, Christian Wiezorek, Timo Kyntäjä, Joonas Elo, Kai Strunz, Karl Henrik Johansson

    Research output: Contribution to journalArticleScientificpeer-review

    43 Citations (Scopus)

    Abstract

    Microgrids are subsystems of the distribution grid operating as a single controllable system either connected or isolated from the grid. In this paper, a novel cooperative Model Predictive Control (MPC) framework is proposed for urban districts comprising multiple microgrids sharing certain Distributed Energy Resources (DERs). The operation of the microgrids, along with the shared DER, are coordinated such that the available flexibility sources are optimised and a common goal is achieved, e.g., minimizing energy exchanged with the distribution grid and the overall energy costs. Each microgrid is equipped with an MPC-based Energy Management System (EMS), responsible for optimally controlling flexible loads, heating systems and local generation devices based on end-user preferences, weather-dependent generation and demand forecasts, energy prices, technical and operational constraints. The proposed coordination algorithm is distributed and guarantees constraints satisfaction, cooperation among microgrids and fairness in the use of the shared resources, while addressing the issue of scalability of energy management in an urban district. Furthermore, the proposed framework guarantees an agreed cost saving to each microgrid. The described method is implemented and evaluated in a virtual testing environment that integrates accurate simulators of the microgrids. Numerical experiments show the feasibility, the computational benefits and the effectiveness of the proposed approach.
    Original languageEnglish
    Article number8004502
    Pages (from-to)3066-3074
    Number of pages9
    JournalIEEE Transactions on Smart Grid
    Volume8
    Issue number6
    DOIs
    Publication statusPublished - 2017
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Model predictive control
    Energy management
    Energy resources
    Energy management systems
    Parallel algorithms
    Scalability
    Costs
    Simulators
    Heating
    Testing
    Experiments

    Keywords

    • microgrids
    • load modeling
    • energy management
    • cogeneration
    • heat pumps
    • resistance heating
    • energy storage

    Cite this

    Parisio, A., Wiezorek, C., Kyntäjä, T., Elo, J., Strunz, K., & Johansson, K. H. (2017). Cooperative MPC-based Energy Management for Networked Microgrids. IEEE Transactions on Smart Grid, 8(6), 3066-3074. [8004502]. https://doi.org/10.1109/TSG.2017.2726941
    Parisio, Alessandra ; Wiezorek, Christian ; Kyntäjä, Timo ; Elo, Joonas ; Strunz, Kai ; Johansson, Karl Henrik. / Cooperative MPC-based Energy Management for Networked Microgrids. In: IEEE Transactions on Smart Grid. 2017 ; Vol. 8, No. 6. pp. 3066-3074.
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    abstract = "Microgrids are subsystems of the distribution grid operating as a single controllable system either connected or isolated from the grid. In this paper, a novel cooperative Model Predictive Control (MPC) framework is proposed for urban districts comprising multiple microgrids sharing certain Distributed Energy Resources (DERs). The operation of the microgrids, along with the shared DER, are coordinated such that the available flexibility sources are optimised and a common goal is achieved, e.g., minimizing energy exchanged with the distribution grid and the overall energy costs. Each microgrid is equipped with an MPC-based Energy Management System (EMS), responsible for optimally controlling flexible loads, heating systems and local generation devices based on end-user preferences, weather-dependent generation and demand forecasts, energy prices, technical and operational constraints. The proposed coordination algorithm is distributed and guarantees constraints satisfaction, cooperation among microgrids and fairness in the use of the shared resources, while addressing the issue of scalability of energy management in an urban district. Furthermore, the proposed framework guarantees an agreed cost saving to each microgrid. The described method is implemented and evaluated in a virtual testing environment that integrates accurate simulators of the microgrids. Numerical experiments show the feasibility, the computational benefits and the effectiveness of the proposed approach.",
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    Parisio, A, Wiezorek, C, Kyntäjä, T, Elo, J, Strunz, K & Johansson, KH 2017, 'Cooperative MPC-based Energy Management for Networked Microgrids', IEEE Transactions on Smart Grid, vol. 8, no. 6, 8004502, pp. 3066-3074. https://doi.org/10.1109/TSG.2017.2726941

    Cooperative MPC-based Energy Management for Networked Microgrids. / Parisio, Alessandra; Wiezorek, Christian; Kyntäjä, Timo; Elo, Joonas; Strunz, Kai; Johansson, Karl Henrik.

    In: IEEE Transactions on Smart Grid, Vol. 8, No. 6, 8004502, 2017, p. 3066-3074.

    Research output: Contribution to journalArticleScientificpeer-review

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