Electrical demand side flexibility from refrigeration systems with thermal energy storage based on a model predictive control strategy – influence of model uncertainties

摘要

Motivated due to boosting shares of renewable energy resources and the associated need fordemand side flexibility, electrical driven refrigeration systems can specifically supply capacitiesthrough adequate use of cold-water energy storage. Therefore, a model predictive controlapproach is presented, mainly focusing on a simplified model to estimate the useable amount ofthe storage capacity. Aim of this investigation is to identify the influence of the uncertainties by thisestimation. Using a simulation model of a cold-water refrigeration system a sensitivity analysis isperformed. Based on synthetic incentive signals, various load shifting scenarios are representedand the feasibility of the suggested cooling supply schedules is evaluated. The examination ofnecessary schedule corrections by a basic plant control as well as the utilization of the incentivesignals show a distinct dependence on the model accuracy.