TOU Pricing Method for Park Considering Local Consumption of Distributed Generator

被引：0

作者：

Liu D. ^{[1
]}

Xu E. ^{[2
]}

Liu M. ^{[1
]}

Zhou B. ^{[3
]}

Ying Y. ^{[4
]}

Yu Q. ^{[5
]}

机构：

[1] School of Economics and Management, North China Electric Power University, Beijing

[2] Zhejiang Zheneng Energy Service Co., Ltd., Hangzhou

[3] Huadian Electric Power Research Institute Co., Ltd., Hangzhou

[4] Economic Research Institute of State Grid Zhejiang Electricity Power Co., Ltd., Hangzhou

[5] Hangzhou Power Supply Company of State Grid Zhejiang Electricity Power Co., Ltd., Hangzhou

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2020年 / 44卷 / 20期

关键词：

Demand response; Distributed generator; Energy Internet; Spectral clustering; Time of use (TOU) price;

D O I：

10.7500/AEPS20200123004

中图分类号：

学科分类号：

摘要：

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. © 2020 Automation of Electric Power Systems Press.

引用

页码：19 / 28

页数：9

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