计及电动汽车和冷负荷响应的多楼宇联合优化调度研究

Research on multi⁃building joint optimal scheduling considering electric vehicle and cold load response

中文关键词: 能源互联网  冷热电联产  楼宇功率交互  电动汽车  冷负荷需求

英文关键词: energy Internet  combined cooling heating and power  energy exchange among buildings  electric vehicle  cold load demand

中文摘要:

      楼宇多呈现集群特性，通过楼宇间的功率交互和能源设备的优化出力，能进一步提高能源利用效率、减少环境污染。首先构建典型能源互联型楼宇，提出多楼宇联合运行结构。然后重点讨论室内冷负荷需求模型和电动汽车模型，通过适宜温度限制和温度惩罚函数对楼宇室温进行优化，以整体楼宇群的总运行成本为优化目标，提出考虑楼间功率交互的多楼宇联合优化调度模型。为增强说服力，增加各楼宇独立运行时的仿真，通过算例对比2种运行方式的经济成本，分析了电动汽车和冷负荷需求对系统运行的影响。结果表明考虑电动汽车和冷负荷需求会影响楼内微源的出力和经济性，进一步提高可再生能源的利用率，在一定程度上降低系统运行成本。

英文摘要:

      Buildings are characterized by clusters. Through the interaction of buildings and optimization of energy equipment,the energy efficiency can be further improved and the environmental pollution would be much reduced. Firstly, a typical energy inter-connected building is constructed, and a multi-building joint operation structure is proposed. Then, the cooling load demand mode land electric vehicle model are mainly discussed. The room temperature is optimized by appropriate temperature limits and temperature penalties. Taking the total operating cost of the whole building group as the optimization objective, a multi-building combined optimal scheduling model considering the power interaction between buildings is proposed. The simulation of building independent operation is set up to enhance the persuasiveness. The economic cost of the two operation modes is compared through a calculation example. The influence of electric vehicle and cooling load requirements on the system operation is analyzed. The results show that the electric vehicle and cold load can affect the building micro-source out-put and the economy, which can further improve the utilization of renewable energy and reduce system operating costs.