Abstract
The proliferation of cogeneration technology, information and communication technology has facilitated the integrations of different energy infrastructures and markets. In this paper, the energy management of an integrated energy system composed of multiple energy hub operators and numerous integrated energy providers is formulated as dynamic energy pricing problem. From the perspective of maximizing social welfare, a distributed gradient projection iterative algorithm is proposed to decide the dynamic energy prices and optimal operation strategies of all the participants. Furthermore, the dual decomposition method is employed to decouple the coupled constraints and the primal problem is decomposed into several independent subproblems which can be solved in a distributed manner without violating privacy. Simulation results indicate that the proposed energy pricing algorithm shows a good convergence and availability, which can guarantee the supply-demand balance in each time slot, as well as promote the interactions between the energy supply and consumption sides.
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