Research on multi-heat-source scheduling strategy of heating system based on improved fireworks algorithm

In this paper, the heating system of the airport energy station is taken as the research object. Aiming at the existing scheduling strategy of multi-heat-source heating system is difficult to achieve the optimal system working condition on the premise of meeting the needs of users. An intelligent scheduling strategy based on an improved FWA is studied. Firstly, the multi-heat-source heating system is analyzed, and the energy consumption model of operating equipment is established. According to the actual situation of the equipment, the multi-objective scheduling model is established. Then, the improved multi-objective fireworks algorithm is studied, including the initialization definition method of fireworks operator, the calculation method of fitness, mutation operator, the calculation method of explosion spark radius, and the concept of Pareto solution set in genetic algorithm with elite strategy is introduced. Finally, a multi-objective optimization function is established to minimize the equipment operation cost and heat source cost, and the multi-objective optimization problem is solved. Compared with the existing airport energy station dispatching scheme, the total operation cost of the optimized system is saved about 28.44%, and the energy waste is reduced based on the excellent operation of the heating system, achieved the optimal working condition