Interval type-2 fuzzy logic based determination of battery charging efficiency applied to standalone hybrid power system

被引:7
|
作者
Rathore, Arun [1 ]
Patidar, N. P. [1 ]
机构
[1] MANIT, Dept Elect Engn, Bhopal, MP, India
关键词
Interval type; 2 fuzzy logic; CE; SOC; reliability; EENS; WIND; STATE;
D O I
10.3233/JIFS-169700
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Energy storage using batteries is emerging as a fundamental element of standalone power system based on non conventional energy sources like wind and solar to increase the penetration level of these sources. The planning of standalone power system incorporating renewable sources and storage necessitates a vigilant study on modeling of a storage system. In most of the planning study reported in literature pertaining to battery storage, charging efficiency (CE) of a battery is assumed to be fixed at constant value. However, CE and State of charge (SOC) of the battery both are correlated. In this paper, Interval Type(IT)-2 fuzzy logic has been applied for determining CE of battery relative to a specific SOC. For evaluating reliability indices i.e. Expected Energy not served (EENS), probabilistic analysis using analytical method has been applied to the standalone power system, situated near Kandla Port in Gujarat, India. The effect of considering CE of battery as a function of SOC has been compared with the constant value of CE of battery for the different groups consisting of solar-battery storage, wind turbine(WT)-battery storage, and wind-solar battery storage systems.
引用
收藏
页码:1621 / 1632
页数:12
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