TY - JOUR
T1 - Chance-constrained models for transactive energy management of interconnected microgrid clusters
AU - Daneshvar, Mohammadreza
AU - Mohammadi-Ivatloo, Behnam
AU - Asadi, Somayeh
AU - Anvari-Moghaddam, Amjad
AU - Rasouli, Mohammad
AU - Abapour, Mehdi
AU - B. Gharehpetian, Gevork
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/10/20
Y1 - 2020/10/20
N2 - 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.
AB - 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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U2 - 10.1016/j.jclepro.2020.122177
DO - 10.1016/j.jclepro.2020.122177
M3 - Article
AN - SCOPUS:85087516580
SN - 0959-6526
VL - 271
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 122177
ER -