Operation of battery energy Storage system in demand side using local load forecasting

Yusuke Hida*, Sludeilt Member, Ryuichi Yokoyama, Jun Shimizukawa, Kenji Iba, Kouji Tanaka, Tomomichi Seki

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Recently, the various political movements, which reduce CO2-emission, have been proposed against global warming. Therefore, battery energy storage systems (BESSs) such as NAS (sodium and sulfur) battery are attracting attention around the world. The first purpose of BESS was the improvement of load factors. The second purpose is the improvement of power quality, especially against voltage-sag. The recent interest is oriented to utilize BESS to mitigate the intermittency of renewable energy. NAS battery has two operation modes. The first one is a fixed pattern operation, which is time-schedule in advance. The second mode is the load following operation. Although this mode can perform more the flexible operation by adjusting the change of load, it has the risks of shortage/surplus of battery energy. In this paper, an accurate demand forecasting method, which is based on multiple regression models, is proposed. Using this load forecasting, the more advanced control of load following operation for NAS battery is proposed.

Original languageEnglish
Pages (from-to)995-1001
Number of pages7
JournalIEEJ Transactions on Power and Energy
Issue number11
Publication statusPublished - 2010


  • BESS
  • Load following operation
  • Load forecasting
  • Load leveling
  • Multi-regression model
  • NAS battery

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology


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