微电网环境下基于RFID信息的光伏建筑蓄电池充放电优化及其调度

RFID BASED SCHEDULING OF STORAGE BATTERIES OF BIPV SYSTEMS AND OPTIMIZING THEIR CHARGING AND DISCHARGING IN A MICROGRID ENVIRONMENT

能源危机的加剧促使人们不断的开发新能源,同时对于现有能源的使用也趋于高效化.民用和商业建筑物对于电能的消耗超过了70%,为了提高建筑物的能源利用效率,文章提出了一种基于校园微电网环境的蓄电池优化调度模型.由于基于RFID技术的校园ID卡的广泛使用,并提出利用ID卡的信息来构建校园内人的行为模型,同时利用光伏电池板的物理模型来刻画光伏建筑发电系统的输出,并采用场景树的方法对所建立的随机规划模型进行求解.最后,通过一个案例比较了场景树方法和一个启发式调度策略,为采用基于事件的方法求解此类网络化离散事件系统进行了初步探索.

With the deterioration of energy crisis,except for developing new energy sources,people also focus their attention on improving the efficiency of energy use.Considering the residential and commercial buildings consuming more than 70%of the electric power and in order to improve their energy efficiency,we propose a model of scheduling the storage batteries and optimizing their operation,based on the microgrid in a campus environment.For the wide application of RFID technology based ID card,the information of ID card is used to model the occupants＇ behavior.What＇s more,a physical model of PV array is used to describe the generation of BIPV system.The scenario tree method is used to solve the stochastic programming.At last,we compare the scenario tree method and a heuristic method in a simple case.This comparison lays the groundwork for the the application of event-based optimization in the networked discrete event dynamic system.