Abstract
As more and more new energy sources are integrated into integrated energy systems (IES), it is important to consider energy storage technologies in integrated energy planning systems so as to reduce energy costs. In this paper, combined heating and power (CHP), gas boiler (GB) and thermal storage (TS) are contained in this IES. According to the user's energy demand, an optimization model was established along with the minimum cost of the system as the objective function through the coordination and cooperation of various energy conversion equipment and energy storage equipment in the energy hub. This paper fully considers the constraint conditions and power balance conditions of various energy conversion equipment and energy storage equipment, and uses improved particle swarm optimization (PSO) algorithms to finally obtain the optimal economy. Finally, an example of a comprehensive energy system is used to verify the accuracy of the algorithm.
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