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

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...

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Main Authors: Kanamarlapudi, Ravi Kishore, Chaudhari, Kalpesh, Kandasamy, Nandha Kumar, Gooi, Hoay Beng, Ukil, Abhisek
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/87324
http://hdl.handle.net/10220/44391
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-873242021-01-10T11:15:21Z Modeling of charging profiles for stationary battery systems using curve fitting approach Kanamarlapudi, Ravi Kishore Chaudhari, Kalpesh Kandasamy, Nandha Kumar Gooi, Hoay Beng Ukil, Abhisek School of Electrical and Electronic Engineering 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017) Energy Research Institute @ NTU (ERI@N) Stationary Battery System Curve Fitting 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. NRF (Natl Research Foundation, S’pore) EDB (Economic Devt. Board, S’pore) 2018-02-05T02:30:55Z 2019-12-06T16:39:32Z 2018-02-05T02:30:55Z 2019-12-06T16:39:32Z 2017 Conference Paper 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. https://hdl.handle.net/10356/87324 http://hdl.handle.net/10220/44391 10.1109/IECON.2017.8216468 en © 2017 IEEE.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Stationary Battery System
Curve Fitting
spellingShingle Stationary Battery System
Curve Fitting
Kanamarlapudi, Ravi Kishore
Chaudhari, Kalpesh
Kandasamy, Nandha Kumar
Gooi, Hoay Beng
Ukil, Abhisek
Modeling of charging profiles for stationary battery systems using curve fitting approach
description 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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Kanamarlapudi, Ravi Kishore
Chaudhari, Kalpesh
Kandasamy, Nandha Kumar
Gooi, Hoay Beng
Ukil, Abhisek
format Conference or Workshop Item
author Kanamarlapudi, Ravi Kishore
Chaudhari, Kalpesh
Kandasamy, Nandha Kumar
Gooi, Hoay Beng
Ukil, Abhisek
author_sort Kanamarlapudi, Ravi Kishore
title Modeling of charging profiles for stationary battery systems using curve fitting approach
title_short Modeling of charging profiles for stationary battery systems using curve fitting approach
title_full Modeling of charging profiles for stationary battery systems using curve fitting approach
title_fullStr Modeling of charging profiles for stationary battery systems using curve fitting approach
title_full_unstemmed Modeling of charging profiles for stationary battery systems using curve fitting approach
title_sort modeling of charging profiles for stationary battery systems using curve fitting approach
publishDate 2018
url https://hdl.handle.net/10356/87324
http://hdl.handle.net/10220/44391
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