Abstract
To more clearly show the abilities of multi-energy carrier systems in managing different energy demands, this paper investigates optimal scheduling of an energy hub in presence of price-based demand response (DR) programs. In this regard, the mathematical model of different energy converters and storage units including combined heat and power (CHP), electrical storage, heat storage and ice storage are extracted. Then, time-of-use (TOU) electrical energy price is set in such a way to reach lower demand in peak hours. Extracting the optimization model of energy scheduling for an energy hub in presence of TOU DR program, the proposed algorithm is implemented on a typical energy hub and the results are obtained. The results prove the applicability and efficiency of such energy optimization algorithms.
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