Day-ahead optimal dispatching for airport-integrated energy system based on load-storage coordination

Airports are characterized by high energy consumption, with the cooling supply load being the primary contributor. Optimal dispatching by utilizing the elastic characteristics of cooling supply load is the key to energy saving and decarbonization of airports. Firstly, this paper proposes to build a load-storage integrated energy system architecture by incorporating the ice storage system; secondly, a day-ahead optimal dispatching model to minimize operating costs and carbon emissions is established; finally, taking an airport as the example, the NSGA-II algorithm is applied to solving the model, and the optimal solution for each energy equipment output plan is obtained. The proposed model is compared and analysed under the base scenario, photovoltaic output fluctuation and outdoor temperature variation scenarios, and the daily photovoltaic consumption rate and indoor temperature range are used to evaluate the dispatching results. The optimal dispatching model improves its performance greatly compared to the design condition, with a reduction of 33.3% for the operating cost and 31.9% for the carbon emissions, and the results demonstrate that the proposed model can almost achieve full photovoltaic consumption while ensuring that the indoor temperature is maintained in the passengers' comfort zone in the face of different levels of photovoltaic output fluctuations and outdoor temperatures. Research outcomes in this paper fill the gap in the optimised potential exploitation of cooling supply loads, respond to the dispatching pressure caused by the energy consumption characteristics of airports, and provide a reference for renewable energy access and energy flexibility management in airports.