Efficient Operation of Lithium-Ion Batteries Based on GPV-Forecasted PV Output

Authors

  • Ahmad Syahiman Mohd Shah Faculty of Electrical and Electronic Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia.
  • Mohamad Shaiful Abdul Karim Faculty of Electrical and Electronic Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia.
  • Mohd Shawal Jadin Faculty of Electrical and Electronic Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia.
  • Airul Sharizli Abdullah Faculty of Electrical and Electronic Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia.
  • Ruhaizad Ishak Faculty of Electrical and Electronic Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia.
  • Yuki Ishikawa Department of Electrical and Electronic Engineering, Ibaraki University, Hitachi, Ibaraki, Japan.
  • Hiroki Takahashi Department of Electrical and Electronic Engineering, Ibaraki University, Hitachi, Ibaraki, Japan.
  • Suguru Odakura Department of Electrical and Electronic Engineering, Ibaraki University, Hitachi, Ibaraki, Japan.
  • Naoto Kakimoto Department of Electrical and Electronic Engineering, Ibaraki University, Hitachi, Ibaraki, Japan.

Keywords:

Batteries, Energy Management, Photovoltaic, PV Forecasting,

Abstract

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-charged or overdischarged. 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.

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Published

2018-01-18

How to Cite

Mohd Shah, A. S., Abdul Karim, M. S., Jadin, M. S., Abdullah, A. S., Ishak, R., Ishikawa, Y., Takahashi, H., Odakura, S., & Kakimoto, N. (2018). Efficient Operation of Lithium-Ion Batteries Based on GPV-Forecasted PV Output. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-2), 161–167. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3344

Issue

Vol. 10 No. 1-2: Moving Towards Industry 4.0 I

Section

Articles

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