冰蓄冷技术控制系统优化研究

Research on optimization of ice storage technology control system

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 popularity of air conditioner, it becomes the main reason for the increase of peak electricity load. The ice storage technology can be the good solution to the overload problem due to the overuse of electricity for air conditioning in the peak period, realizing the function of peak load shifting for electricity resource but bringing the problem of increasing overall power consumption. In view of this problem, this paper first built the mathematical model related to the ice storage air - conditioning sys- tem. Then,the particle swarm optimization algorithm was adapted to optimize the ice storage air - conditioning system with the minimum life cycle cost as the objective function and the optimal operational strategy was worked out. The research results show that the particle swarm optimization algorithm can effectively reduce the power consumption of the ice storage air conditioning sys- tem, realize the optimization of system and achieve the goal of saving cost in the premise of guaranteeing the operational economy of the system.