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Issue title: Special Section: Ambient advancements in intelligent computational sciences
Guest editors: Shailesh Tiwari, Munesh Trivedi and Mohan L. Kohle
Article type: Research Article
Authors: Rathore, Arun; * | Patidar, N.P.
Affiliations: Department of Electrical Engineering, MANIT, Bhopal, MP, India
Correspondence: [*] Corresponding author. Arun Rathore, Department of Electrical Engineering, MANIT, Bhopal, MP, India. E-mail: arun.rathore4@gmail.com.
Abstract: 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.
Keywords: Interval type-2 fuzzy logic, CE, SOC, reliability, EENS
DOI: 10.3233/JIFS-169700
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 1621-1632, 2018
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