A Robust Rolling-Horizon Algorithm for the Optimal Operation of Multi-energy Systems with Yearly Constraints and Seasonal Storage

This work proposes an affinely adjustable robust optimization model and rolling horizon algorithm to optimize the day-ahead unit commitment and economic dispatch problem of Multi Energy Systems (MES) featuring seasonal storage systems and/or yearly basis constraints on the performance of the installed units and/or yearly limits on the electricity import/export. The algorithm is applied to optimize the operation of a MES designed to serve the district heating network of the university campus. Results indicate that the proposed approach is able to operate the MES and the seasonal storage system in an efficient way while meeting the yearly basis constraints.