The joint operation strategy of energy storage power station and photovoltaic power station based on typical output scenarios

被引：0
|
作者：
Luo, Jingjing [1 ]
Gao, Yajing [1 ]
Ren, Jiafeng [1 ]
Yang, Yongchun [1 ]
机构：
[1] NCEPU, Baoding, Peoples R China
来源：
PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018) | 2018年
基金：
中国国家自然科学基金; 北京市自然科学基金;
关键词：
energy storage station; PV power station; typical output scenarios; optimal joint operation strategy;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
With the continuous development of energy storage technology, how to improve the operation of energy storage power station and improve the joint operation of energy storage power station and new energy power station has become a current hot issue. In this paper, the joint operation strategy of energy storage plants and photovoltaic (PV) power plants is analyzed. Firstly, SOM clustering algorithm is used to classify the different output conditions of PV power plants in different seasons, and typical output scenarios are obtained. Then, the profit model of PV power plant and the model of energy storage station are established before and after their cooperation. Finally, an example is given to analyze the model, and the optimal strategy of associated the energy storage station and the PV power plant under different typical scenarios is obtained. It is proved that in the majority of typical scenarios, both of the energy storage station and the PV power plant can get more benefits.
引用
收藏
页码：2405 / 2410
页数：6
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