Efficient operation of lithium-ion batteries based on GPV-forecasted PV output

A load forecasting is essential in order to fulfil a demand of the consumer. Nevertheless, for a small-scale battery energy storage system (BESS) based on sole photovoltaic (PV), it needs a very strong effort to always meet a consumer's demand due to unstable meteorological conditions. An ideal...

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Main Authors:	Ahmad Syahiman, Mohd Shah, Mohamad Shaiful, Abdul Karim, M. S., Jadin, Airul Sharizli, Abdullah, Ruhaizad, Ishak, Yuki, Ishikawa, Hiroki, Takahashi, Suguru, Odakura, Naoto, Kakimoto
Format:	Conference or Workshop Item
Language:	English English
Published:	2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/19449/ http://umpir.ump.edu.my/id/eprint/19449/1/Efficient%20Operation%20of%20Lithium-Ion%20Batteries%20Based%20on%20GPV-Forecasted%20PV%20Output.pdf http://umpir.ump.edu.my/id/eprint/19449/2/Efficient%20Operation%20of%20Lithium-Ion%20Batteries%20Based%20on%20GPV-Forecasted%20PV%20Output%201.pdf

id	ump-19449
recordtype	eprints
spelling	ump-194492018-06-27T08:25:05Z http://umpir.ump.edu.my/id/eprint/19449/ Efficient operation of lithium-ion batteries based on GPV-forecasted PV output Ahmad Syahiman, Mohd Shah Mohamad Shaiful, Abdul Karim M. S., Jadin Airul Sharizli, Abdullah Ruhaizad, Ishak Yuki, Ishikawa Hiroki, Takahashi Suguru, Odakura Naoto, Kakimoto TK Electrical engineering. Electronics Nuclear engineering A load forecasting is essential in order to fulfil a demand of the consumer. Nevertheless, for a small-scale battery energy storage system (BESS) based on sole photovoltaic (PV), it needs a very strong effort to always meet a consumer's demand due to unstable meteorological conditions. An ideal PV system requires a constructive control strategy in order to alleviate its fluctuating output. In this study, an energy control scheme that executes next-day forecast of generation for the purpose of fully utilizing the stored energy in the batteries has been proposed. Experimental equipment was structured and the operation was completely administered by RX621 microcontroller. The implemented system worked very well without any distractions and it succeeded in controlling and preventing the batteries from being over-charge or over-discharge. Impressively, average consumption for September 2015 is considerably high, which suggests that the proposed control succeeded in utilizing energy corresponded to 98.6 % of the monthly-average generation. 2017 Conference or Workshop Item NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19449/1/Efficient%20Operation%20of%20Lithium-Ion%20Batteries%20Based%20on%20GPV-Forecasted%20PV%20Output.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/19449/2/Efficient%20Operation%20of%20Lithium-Ion%20Batteries%20Based%20on%20GPV-Forecasted%20PV%20Output%201.pdf Ahmad Syahiman, Mohd Shah and Mohamad Shaiful, Abdul Karim and M. S., Jadin and Airul Sharizli, Abdullah and Ruhaizad, Ishak and Yuki, Ishikawa and Hiroki, Takahashi and Suguru, Odakura and Naoto, Kakimoto (2017) Efficient operation of lithium-ion batteries based on GPV-forecasted PV output. In: 4th International Conference On Electrical, Control and Computer Engineering (INECCE2017), 16-17 October 2017 , Hotel Adya, Langkawi. pp. 1-6.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Ahmad Syahiman, Mohd Shah Mohamad Shaiful, Abdul Karim M. S., Jadin Airul Sharizli, Abdullah Ruhaizad, Ishak Yuki, Ishikawa Hiroki, Takahashi Suguru, Odakura Naoto, Kakimoto Efficient operation of lithium-ion batteries based on GPV-forecasted PV output
description	A load forecasting is essential in order to fulfil a demand of the consumer. Nevertheless, for a small-scale battery energy storage system (BESS) based on sole photovoltaic (PV), it needs a very strong effort to always meet a consumer's demand due to unstable meteorological conditions. An ideal PV system requires a constructive control strategy in order to alleviate its fluctuating output. In this study, an energy control scheme that executes next-day forecast of generation for the purpose of fully utilizing the stored energy in the batteries has been proposed. Experimental equipment was structured and the operation was completely administered by RX621 microcontroller. The implemented system worked very well without any distractions and it succeeded in controlling and preventing the batteries from being over-charge or over-discharge. Impressively, average consumption for September 2015 is considerably high, which suggests that the proposed control succeeded in utilizing energy corresponded to 98.6 % of the monthly-average generation.
format	Conference or Workshop Item
author	Ahmad Syahiman, Mohd Shah Mohamad Shaiful, Abdul Karim M. S., Jadin Airul Sharizli, Abdullah Ruhaizad, Ishak Yuki, Ishikawa Hiroki, Takahashi Suguru, Odakura Naoto, Kakimoto
author_facet	Ahmad Syahiman, Mohd Shah Mohamad Shaiful, Abdul Karim M. S., Jadin Airul Sharizli, Abdullah Ruhaizad, Ishak Yuki, Ishikawa Hiroki, Takahashi Suguru, Odakura Naoto, Kakimoto
author_sort	Ahmad Syahiman, Mohd Shah
title	Efficient operation of lithium-ion batteries based on GPV-forecasted PV output
title_short	Efficient operation of lithium-ion batteries based on GPV-forecasted PV output
title_full	Efficient operation of lithium-ion batteries based on GPV-forecasted PV output
title_fullStr	Efficient operation of lithium-ion batteries based on GPV-forecasted PV output
title_full_unstemmed	Efficient operation of lithium-ion batteries based on GPV-forecasted PV output
title_sort	efficient operation of lithium-ion batteries based on gpv-forecasted pv output
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/19449/ http://umpir.ump.edu.my/id/eprint/19449/1/Efficient%20Operation%20of%20Lithium-Ion%20Batteries%20Based%20on%20GPV-Forecasted%20PV%20Output.pdf http://umpir.ump.edu.my/id/eprint/19449/2/Efficient%20Operation%20of%20Lithium-Ion%20Batteries%20Based%20on%20GPV-Forecasted%20PV%20Output%201.pdf
first_indexed	2023-09-18T22:27:45Z
last_indexed	2023-09-18T22:27:45Z
_version_	1777416080323510272

Efficient operation of lithium-ion batteries based on GPV-forecasted PV output

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