Suppression of pv output fluctuation using a battery energy storage system with model predictive control

Dwi Riana Aryani, Jung Su Kim, Hwachang Song

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

This paper provides a control strategy for battery energy storage system (BESS) in suppressing the photovoltaic (PV) output fluctuation so that the smoothed power delivered to the grid satisfies the maximum ramp requirement of the system. As one of robust control solutions, model predictive control (MPC) is proposed so the control actions of battery charging and discharging can be planned by considering some constraints such as battery power and state of charge (SoC) limitations. Moving average filter (MAF) is used to generate the output reference for the combined system of PV and BESS where the time window is selected by considering the maximum ramp provided to the system. The simulation results show that the proposed control strategy is able to track the prescribed reference effectively so the smoothing strategy meets the fluctuations limit while satisfying the battery constraints.

Original languageEnglish
Pages (from-to)202-209
Number of pages8
JournalInternational Journal of Fuzzy Logic and Intelligent Systems
Volume17
Issue number3
DOIs
StatePublished - 2017

Keywords

  • Battery energy storage systems (BESS)
  • Fluctuation suppression
  • Model predictive control (MPC)
  • Moving average filter (MAF)
  • Photovoltaic (PV) systems

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