Distributed robust operational optimization of networked microgrids embedded interconnected energy hubs

An interconnected energy hubs (EHs) framework aims to enhance the efficiency of the multicarrier energy system through realizing optimal coordination among existing players. In this paper, EH concept is studied in networked microgrids (MGs) structure to exploit the potential capabilities of microgrids in satisfying various types of energy demands. In the proposed model, MGs and distribution network are independent entities which have their local scheduling problem. To coordinate the operation of entities, a distributed algorithm based on the alternating direction method of multipliers (ADMM) is exploited to resolve the conflict of exchanged power between multi-MGs and distribution network. Considering the uncertainties, a distributed robust model is employed to precisely analyze the performance of multi-carrier energy networked MGs in different robustness levels. The efficiency of the ADMM model on integrated energy systems is tested on a networked MGs. The achieved results can ensure the light computational burden and convergence of proposed distributed algorithm. The proposed EH optimization problem is solved via Gurobi optimizer packages. According to the results, the ADMM converges to the final solution after 5 iterations, and with increasing the robustness level, the operation costs of EHs increases. The obtained results by Gurobi is more optimal than heuristic algorithms. •Networked microgrids are considered as multi-energy hubs to satisfy various energy demands.•This study exploits the multi-energy interconnection through decentralized operation mode of microgrids.•A decentralized energy management system is exploited to optimally respect the ownership of all entities.•ADMM is introduced to ensure the privacy and independence of the entities.•A distributed robust model is applied to networked microgrids embedded energy hubs.