Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87324
Title: Modeling of charging profiles for stationary battery systems using curve fitting approach
Authors: Kanamarlapudi, Ravi Kishore
Chaudhari, Kalpesh
Kandasamy, Nandha Kumar
Gooi, Hoay Beng
Ukil, Abhisek
Keywords: Stationary Battery System
Curve Fitting
Issue Date: 2017
Source: Chaudhari, K. Kandasamy, N. K., Kanamarlapudi, R. K., Gooi, H. B., & Ukil, A. (2017). Modeling of charging profiles for stationary battery systems using curve fitting approach. 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017), 2777-2781.
Abstract: Stationary Battery Systems (SBS) are becoming a critical component in power distribution network across the world. Penetration of renewable energy sources which are intermittent in nature is a huge influence on the requirement of SBS. Furthermore, SBS are used in other applications such as peak load management, load-shifting, voltage regulation and power quality improvement. With increase in penetration on SBS, the requirement for modeling charging characteristics considering capacity loss is also increasing drastically. Minimal resource requirement and capability to leverage on smart meter data are the important parameters that are to be focused while developing any model for such applications. In this paper, an analysis on different curve fitting approaches that can be used for predicting the charging profiles of SBS based on lithium iron phosphate batteries is presented.
URI: https://hdl.handle.net/10356/87324
http://hdl.handle.net/10220/44391
DOI: 10.1109/IECON.2017.8216468
Rights: © 2017 IEEE.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

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