Research on Optimal Storage Capacity of DC Micro-grid System in PV Station

被引：0
|
作者：
Wu, M. [1 ]
Sun, L. J. [1 ]
Zhang, H. [1 ]
Wang, W. [2 ]
Luo, G. M. [2 ]
机构：
[1] China Elect Power Res Inst, Beijing, Peoples R China
[2] Beijing Jiaotong Univ, Beijing, Peoples R China
来源：
JOURNAL OF ENGINEERING-JOE | 2017年
关键词：
PV station load; capacity configuration; PV energy storage micro-grid; peak shaving; K-means algorithm;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Existing methods to determine the battery bank capacity of micro-grid composed of photovoltaic(PV) generation and energy storage device are classified and summarized in this paper. In the viewpoint of peak load filling and implementing continuous power supply by independent and grid-connected micro-grid composed of PV generation and energy storage device, the method for optimal configuration of battery bank capacity is researched. A method of optimizing the storage capacity of DC micro-grids considering the randomness of PV and load is proposed to maximize the local absorption of renewable energy. Based on the K-means algorithm, the engineering selection basis of PV and storage capacity in DC micro-grid system is given, and its economic benefit is evaluated. Finally, the efficiency and economy of the energy storage capacity selection method are verified by practical application of 31.5MW PV power station in Badaling, Beijing.
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页数：7
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