含蓄冰空调的楼宇分布式能源系统优化

发布时间：2018-06-25 09:18

本文选题：蓄冰空调 + 楼宇分布式能源系统　；参考：《华南理工大学》2014年硕士论文

【摘要】：随着全球经济快速发展与化石能源短缺，提高能源利用率和保护地球环境问题日益突出。在此背景下，分布式能源系统受到广泛重视。但分布式能源系统投资很高，须对各设备进行合理的配置才能发挥其优势。此外，很多地区峰谷差明显，在用电高峰时严重缺电，而低谷时又有大量容量得不到充分利用，严重影响电网的经济性。蓄冰空调能利用夜间的廉价电力制冰，在白天将夜间所制的冰作为冷源释放冷。因此，建立含蓄冰空调的楼宇分布式电源系统，可以降低用电成本，具有重大实际意义。本文对广东某地区大型楼宇的楼宇能耗以及其冷电负荷进行了调研，根据其电负荷特征，将楼宇分为了负荷连续型楼宇和负荷间断型楼宇，又根据负荷的重要程度，，将负荷间断型楼宇细分为有重要负荷和无重要负荷并分别对这三种楼宇的单位面积耗电、终端能耗以及各季节典型日的冷电负荷进行了分析。为实现楼宇分布式能源系统的经济运行，本文构建了含蓄冰空调的楼宇分布式能源系统双层优化模型。该模型下层为基于混合整数规划算法的优化配置模型，上层则粒子群算法寻找系统最优设备配置容量，以增量投资回收期最短为优化目标进行容量优化计算。上层将设备类型及设备容量优化结果传递给下层，下层通过日运行费用最小为目标进行优化，再目标值作为粒子群算法的适应度返回上层，层层进化后最终给出最优的投资回收期及设备容量和运行策略方案。运用上述模型，在当前市场的电价和天然气价的市场条件下，分别对三种楼宇的楼宇分布式能源系统进行优化，得到了各典型楼宇含蓄冰空调的楼宇分布式能源系统容量和运行方案。最后分别针对各典型楼宇，对比分析了其分布式能源系统优化配置方案与不接入含蓄冰空调的分布式能源系统的常规分供系统的经济性，并探讨了建筑面积、冷电比和重要负荷系数变化时对增量投资回收期和分布式能源系统的容量配置产生的影响。研究表明：含蓄冰空调的楼宇分布式能源系统经过合理的优化配置和调度可取得很好的经济效益，避开用电高峰，提高环保性。
[Abstract]:With the rapid development of global economy and the shortage of fossil energy, the problems of improving energy efficiency and protecting the earth's environment are becoming increasingly prominent. In this context, distributed energy systems have received extensive attention. But the investment of distributed energy system is very high. In addition, in many areas, the peak and valley difference is obvious, the power consumption peak time is serious lack of electricity, but at the low point, a large number of capacity is not fully utilized, which seriously affects the economy of power grid. Ice storage air conditioning can use the cheap electricity at night to make ice and release the ice made at night as a cold source during the day. Therefore, it is of great practical significance to set up a building distributed power system with ice-implicit air-conditioning, which can reduce the cost of electricity consumption. This paper investigates the energy consumption and cooling load of large buildings in a certain area of Guangdong province. According to the characteristics of power load, the buildings are divided into continuous load building and discontinuous load building, and according to the importance of load. The discontinuous load buildings are divided into two types: important load and no important load. The unit area power consumption, terminal energy consumption and cooling load of typical days in each season are analyzed respectively. In order to realize the economic operation of building distributed energy system, a bilevel optimization model of building distributed energy system is constructed in this paper. The lower layer of the model is an optimal configuration model based on mixed integer programming algorithm. The upper layer particle swarm optimization algorithm is used to find the optimal configuration capacity of the system, and the optimal capacity is calculated with the shortest payback period of incremental investment as the optimization objective. The upper layer transfers the result of equipment type and equipment capacity optimization to the lower layer, the lower layer optimizes through the minimum daily operation cost, and the target value is returned to the upper layer as the fitness of the particle swarm optimization algorithm. After evolution, the optimal investment payback period, equipment capacity and operation strategy are given. Using the above model, under the current market conditions of electricity price and natural gas price, the distributed energy systems of three kinds of buildings are optimized respectively. The distributed energy system capacity and operation scheme of ice-storage air-conditioning system for typical buildings are obtained. Finally, according to the typical buildings, the economy of the distributed energy system optimal allocation scheme and the conventional energy distribution system without ice storage air conditioning is analyzed, and the building area is discussed. The influence of the change of the cooling power ratio and the important load coefficient on the recovery period of the incremental investment and the capacity allocation of the distributed energy system. The results show that the distributed energy system with ice storage air conditioning system can achieve good economic benefits, avoid the peak power consumption and improve the environmental protection through reasonable optimal allocation and scheduling.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TU831

【参考文献】