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随着空调的普及,它已经成为高峰期用电负荷增大的主要原因;冰蓄冷技术能够很好地解决在用电高峰期由于空调用电过多造成负荷过大的问题,实现电力资源的移峰填谷功能,但其也带来了总体电力消耗增加的问题。针对此问题,首先建立了与冰蓄冷空调系统相关的数学模型;然后,将系统最小寿命周期成本作为目标函数,采用粒子群算法(PSO,Particle Swarm Optimization)对冰蓄冷空调系统进行优化,并制定出最佳的运行策略。研究结果表明,方法在保证系统运行经济性的前提下,能够有效地降低冰蓄冷空调系统的电力消耗,实现冰蓄冷空调系统的优化,达到节省成本和资源的目的。
With the popularization of air conditioners, it has become the main reason for the increase of electricity load during the peak period. The ice storage technology can well solve the problem of excessive load caused by the excessive use of air conditioners during the peak of electricity consumption, The shifting peak filling function, however, also poses the problem of an increase in the overall power consumption. In order to solve this problem, a mathematic model related to ice-storage air-conditioning system is established firstly. Then, the minimum life-cycle cost of the system is taken as the objective function. Particle swarm optimization (PSO) is used to optimize the ice- Out of the best operating strategy. The results show that the method can effectively reduce the electricity consumption of ice-storage air-conditioning system and optimize the ice-storage air-conditioning system under the premise of ensuring the economy of system operation, so as to save costs and resources.