Performance Analysis of Energy Storage in Smart Microgrid Based on Historical Data of Individual Battery Temperature and Voltage Changes

Main Authors: Haq, Irsyad Nashirul; Engineering Physics Program, Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesha 10, Bandung 40132,, Kurniadi, Deddy; Engineering Physics Program, Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesha 10, Bandung 40132,, Leksono, Edi; Engineering Physics Program, Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesha 10, Bandung 40132,, Yuliarto, Brian; Engineering Physics Program, Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesha 10, Bandung 40132,, Soelami, F.X. Nugroho; Engineering Physics Program, Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesha 10, Bandung 40132,
Other Authors: the Lembaga Pengelola Dana Pendidikan (LPDP), the Republic of Indonesia, partially supported by Research Grant ITB and Research Grant of Ministry of Research, Technology, and Higher Education.
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: ITB Journal Publisher, LPPM ITB , 2019
Subjects:
Online Access: http://journals.itb.ac.id/index.php/jets/article/view/8342
http://journals.itb.ac.id/index.php/jets/article/view/8342/4120
Daftar Isi:
  • In this work, a historical data based battery management system (BMS) was successfully developed and implemented using an embedded system for condition monitoring of a battery energy storage system in a smart microgrid. The performance was assessed for 28 days of operating time with a one-minute sampling time. The historical data showed that the maximum temperature increment and the maximum temperature difference between the batteries were 4.5 °C and 2.8 °C. One of the batteries had a high voltage rate of change, i.e. above 3.0 V/min, and its temperature rate of change was very sensitive, even at low voltage rate of changes. This phenomenon tends to indicate problems that may deplete the battery energy storage system’s total capacity. The primary findings of this study are that the voltage and temperature rates of change of individual batteries in real operating conditions can be used to diagnose and foresee imminent failure, and in the event of a failure occurring the root cause of the problem can be found by using the historical data based BMS. To ensure further safety and reliability of acceptable practical operating conditions, rate of change limits are proposed based on battery characteristics for temperatures below 0.5 °C/min and voltages below 3.0 V/min.