Optimizing and modeling the transactive energy technology in modern multi-carrier energy networks

The fast developments of smart technologies alongside the rapid proliferation of distributed hybrid energy systems have made the formation of multi-carrier energy networks for the future modern energy infrastructure undeniable. Herein, what will be the optimal energy management of combined energy grids is a key question that introduces critical challenges for the exploitation of the hybrid system. However, recent progress in energy trading technologies offers tremendous solutions for effectively attending to such challenges. This chapter suggests the transactive energy-based model for the optimal energy management of hybrid microgrids in an integrated energy grid. For this aim, the local energy trading market is structured under the transactive energy concepts to allow microgrids to trade energy with each other for flexibility. Due to the usage of renewable energy sources for generating carbon-free energy in microgrids, impacts of uncertainties in optimally operating the system are inevitable. Thus, in this study, an autoregressive integrated moving average was the approach for scenario generation in the uncertainty modeling process. For verifying the suggested transactive energy-based model, the combined version of the 10-node district heating and IEEE 10-bus electricity grids is considered to evaluate the optimal energy management problem. The results highlighted the applicability of the suggested model in determining optimal set points for multi-energy interactions and effectively balancing energy throughout the hybrid grid.