面向分布式电源就地消纳的园区分时电价定价方法

在能源互联网的背景下，园区运营商首先对内利用分布式电源满足园区用电需求，然后对外进行不平衡能量交换。园区运营商通过制定差异化分时电价套餐，挖掘园区用户的需求响应潜力，能够促进分布式电源就地消纳，优化园区内外交换负荷，对此提出一种园区分时电价定价方法。首先，综合考虑园区用户的用电负荷和需求响应特征，基于谱聚类算法形成园区用户群体；然后，根据园区用户群体的用电负荷特征，基于k-means聚类算法确定分时时段；最后，构建园区分时电价定价优化模型，形成面向不同园区用户群体的差异化分时电价套餐。根据算例分析可知，基于该方法制定园区分时电价，能够有效提高园区分布式电源的就地消纳率和综合利用效率、与外部电网的友好程度和整体经济性。

TOU Pricing Method for Park Considering Local Consumption of Distributed Generator

In the background of Energy Internet, park operators firstly use distributed generators internally to meet the park electricity demand, and then exchange unbalanced energy externally. By formulating differentiated time-of-use (TOU) price packages, park operators can develop the demand response potential of park users, which can promote the local consumption of distributed generators and optimize the load exchange inside and outside the park. In this regard, a TOU pricing method for parks is proposed. Firstly, considering characteristics of electricity load and demand response, user groups in the park are clustered based on spectral clustering algorithm. Secondly, according to electricity load characteristics of user groups in the park, TOU periods are calculated based on k-means clustering algorithm. Finally, differentiated TOU price packages for different user groups in the park are formulated by constructing TOU pricing optimization model. According to the analysis of case examples, formulating TOU price in the park based on this method can effectively improve the local consumption rate and comprehensive utilization efficiency of the distributed generator in the park, as well as the friendliness with the external power grid and overall economy.