基于源荷匹配度的多综合能源社区日前共享模型

综合能源社区内有限的调节能力是制约社区型综合(分布式)能源系统发展的关键因素,为此提出一种考虑社区间源荷曲线匹配度的多社区日前能源优化共享模型。首先,在单个社区内具体分析供能结构和多能流动关系,搭建含电动汽车(electric vehicle,EV)和多个能源转换设备的数学模型,并建立以购能成本、设备运维成本和电动汽车电池损耗成本最小的目标函数;其次,在社区间考虑基于光伏和负荷数据的综合Spearman常数和欧式距离的匹配指标,以能源交互成本最小为目标,对多社区运营效益进行优化。最后,通过一个三社区模拟系统进行仿真,结果表明多能源共享模式能有效提升系统整体经济性和光伏消纳能力,模型中匹配指标的引入也使得能源传输效率得到提升,从而验证了所提模型的合理性与有效性。

Day-ahead Sharing Model of Multi-integrated Energy Community Considering Source-Load Matching Degree

The limited regulation capacity in the integrated energy community is a key factor restricting the development of the community-based integrated (distributed) energy system. For that reason, a model for optimal sharing of day-ahead energy in multi-communities considering the matching degree of source and load curves among communities is proposed. Firstly, the relationship between energy supply structure and multi-energy flow is analyzed concretely in a single community. A mathematical model is built that includes electric vehicles and multiple energy conversion equipment, and an objective function is established that minimizes the cost of energy purchase, equipment operation and maintenance, and electric vehicle battery loss costs. Secondly, the comprehensive Spearman constant and Euclidean distance matching index is considered according to photovoltaic and load data among the communities, and the multi-community operation efficiency is optimized with the goal of minimizing the energy interaction cost. Finally, through a 3-community simulation system, the results show that the multi-energy sharing mode can effectively improve the overall economy of the system and the photovoltaic power consumption capacity. The introduction of matching indices in the model also improves the energy transmission efficiency, which verifies the rationality of the proposed model.