@article{Mor2021,Author = {Morteza Zare Oskouei, Payam Teimourzadeh Baboli, Davood Babazadeh},Title = {Robust Stochastic Optimization for Energy Sharing between Multi-Carrier Microgrids using Transactive Energy Management System},Journal = {ETG Congress 2021},Year = {2021},Pages = {1-6},Month = {3},Doi = {978-3-8007-5549-3},Url = {https://ieeexplore.ieee.org/abstract/document/9469638},type = {article},Abstract = {Recently, multi-carrier microgrids (MCMGs) have attracted more attention as they provide practical solutions for economical operation and optimal configuration of power systems. MCMGs operators have been looking for economic strategies to deal with the existing challenges in the various energy markets. Therefore, this paper investigates the economic opportunity to minimize the operating cost of each MCMG in the competitive energy markets using transactive energy management (TEM) mechanism as a pioneering energy sharing method. Based on the proposed strategy, all MCMGs can exchange energy with each other to take advantage of existing opportunities in energy markets by reducing the dependency on the main energy networks. Moreover, the role of effective energy conversion facilities, e.g. combined heat and power (CHP) unit, tri-state compressed air energy storage (CAES) system, and photovoltaic (PV) system, as an environmental-friendly and sustainable source of energy, is considered in promoting the economic performance of MCMGs. To perform more comprehensive analysis, the effect of the uncertainty associated with the electricity market price, energy demands, and output power of PV systems on the expected cost is investigated using the robust-stochastic approach. The proposed strategy is formulated as a mixed-integer linear programming (MIP) model and solved using the CPLEX solver in GAMS software. The performance of the proposed strategy is demonstrated through a set of scenarios using various MCMGs.}}@COMMENT{Bibtex file generated on }