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      Modeling of charging profiles for stationary battery systems using curve fitting approach

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      Author
      Chaudhari, Kalpesh
      Kandasamy, Nandha Kumar
      Kanamarlapudi, Ravi Kishore
      Gooi, Hoay Beng
      Ukil, Abhisek
      Date of Issue
      2017
      Conference Name
      43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017)
      School
      School of Electrical and Electronic Engineering
      Research Centre
      Energy Research Institute @NTU
      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.
      Subject
      Stationary Battery System
      Curve Fitting
      Type
      Conference Paper
      Rights
      © 2017 IEEE.
      Collections
      • EEE Conference Papers
      http://dx.doi.org/10.1109/IECON.2017.8216468
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