Research Area:  Machine Learning

Abstract:

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.

Keywords:  
Microgrids
Constrained Models
Transactive Energy
Clusters
Sustainable technology

Author(s) Name:  Mohammadreza Daneshvar, Behnam Mohammadi-Ivatloo, Somayeh Asadi, Amjad Anvari-Moghaddam

Publisher name:  Elsevier

DOI:  10.1016/j.jclepro.2020.122177

Volume Information:  Volume 271

Paper Link:   https://www.sciencedirect.com/science/article/abs/pii/S0959652620322241