The Hybrid Energy Storage Microgrid Optimization Operation Considering the Battery Health State

被引：0
|
作者：
Ou Fan [1 ]
Li Hengzhen [1 ]
Wang Yunfei [1 ]
Chen Sixiang [1 ]
Dong Di [1 ]
机构：
[1] Guangdong Grid Coroporat, Foshan Power Supply Bur, Foshan, Peoples R China
来源：
PROCEEDINGS OF 2017 2ND INTERNATIONAL CONFERENCE ON POWER AND RENEWABLE ENERGY (ICPRE) | 2017年
关键词：
microgrid; hybrid energy storage; the health state of battery; fuzzy decision algorithm;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
To maximize the utilization of renewable energy and the battery lifetime for grid-connected hybrid energy microgrid containing photovoltaic, sodium-sulfur battery and lithium battery, a multi-objective optimization control strategy has been proposed in this paper. Considering the state of charge and lifetime of the energy storage system, the minimization of the power purchase cost of microgrid and the operation cost of energy storage devices has been chosen as the optimization target. Based on the fuzzy decision algorithm, the coordination and tradeoffs have been made between the two optimization targets. Finally, an example based on a real microgrid system validates that this method can efficiently improve the economy of microgrid and the lifetime of energy systems.
引用
收藏
页码：717 / 721
页数：5
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