Abstract
In the traditional park, the electric energy is completely provided by the power grid, in addition, the thermal energy is provided by the gas boiler. The single energy structure leads to higher operating cost and lower energy utilization rate of the park. Therefore, firstly, a park-level integrated energy system composed of gas turbine, heat recovery boiler, gas boiler, storage battery, and the load of heat and power has been proposed in this composition. Secondly, considering time-sharing tariff and the randomness of load, the objective function is established with the minimum daily operation cost as the optimization aim. Then, a particle swarm optimization with curve increasing strategy is proposed to solve the objective function. Finally, the load data of a typical day in winter is analyzed as an example. The simulation results show that the proposed method can optimize the energy structure of the park, improve the economy of the system operation, and reduce the daily operation cost of the system by 12.32%.
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