Chance-constrained models for transactive energy management of interconnected microgrid clusters
Transactive energy as an emerging approach and sustainable technology can provide an exceptional opportunity for microgrids to exchange energy with each other for greater benefits in the cluster mode. In this mode of operation, some collective and individual interests can be realized for the microgr...
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Veröffentlicht in: | Journal of cleaner production 2020-10, Vol.271, p.122177, Article 122177 |
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Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Transactive energy as an emerging approach and sustainable technology can provide an exceptional opportunity for microgrids to exchange energy with each other for greater benefits in the cluster mode. In this mode of operation, some collective and individual interests can be realized for the microgrids based on transactive energy management. This paper proposes mathematical models for microgrid clusters using a transactive energy structure to manage energy exchange in the smart grid. In order to make an informed decision for the operation of microgrid clusters, chance-constrained programming is employed to consider the uncertainties in balancing collective and individual interests under the transactive energy management. In this research, sixteen commercial microgrids are considered in the process of evaluating the efficiency of the proposed models using the chance-constrained programming method. Simulation results prove the effectiveness of the transactive energy approach accompanying the implementation of chance-constrained programming in energy management of the microgrid clusters.
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•Different operational models are proposed for interconnected microgrids clusters.•Transactive energy is applied for the energy management of the microgrids.•The chance-constrained method is used for probabilistic modeling of the uncertainties.•The economic benefits of the microgrids are maximized in the deregulated environment.•Coupled electrical and thermal devices are employed to reliably meet energy demand. |
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ISSN: | 0959-6526 |
DOI: | 10.1016/j.jclepro.2020.122177 |