Bi-level Optimal Scheduling of Demand Response Integrated Energy Hub Through Cost and Exergy Assessments

Energy hub has gained its popularity recently in describing the multi-energy complements in integrated energy systems. In this paper, a novel bi-level optimal scheduling model for a demand response integrated energy hub is established aiming at a balance between cost analysis and exergy assessment. A modified steam injected gas turbine structure is introduced to flexibly transit working status according to demand changes. The Karush-Kuhn-Tucker condition and big M method are applied to transform the nonlinear model to a mixed integer linear programming problem, which can be easily solved by commercial solvers. Case study of a smart multi-energy building demonstrates the effectiveness of the proposed model. Results show that the scheduling method in this paper enables significant reduction in the total operating costs and improvement of the overall exergy efficiency. Besides, the modification of energy converting device and application of interruptible load effectively alleviate energy supply pressure of distributed power grid and increase the service life of energy storage devices.