Adaptive Control Design for Autonomous Operation of Multiple Energy Storage Systems in Power Smoothing Applications

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Abstract

Energy storage systems (ESSs) are becoming indispensable components in electric power systems. They are used for energy scheduling, power/voltage smoothing, load shifting, as well as for emergency power supply. The most common control method for power/voltage smoothing is based on a high-pass-filter (HPF) structure. It generates the power reference according to the fluctuating power and provides a stabilization effect. The power and energy supplied by ESS are majorly configured by the cut-off frequency and gain of the HPF. Considering the operational limits on ESS state-of-charge (SoC), this paper proposes an adaptive cut-off frequency design method to realize communication-less and autonomous operation of a system with multiple distributed ESS. The experimental results demonstrate that the SoCs of all ESS units are kept within safe margins, while the SoC level and power of the paralleled units converge to the final state, providing a natural plug-and-play function.
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Energy storage systems (ESSs) are becoming indispensable components in electric power systems. They are used for energy scheduling, power/voltage smoothing, load shifting, as well as for emergency power supply. The most common control method for power/voltage smoothing is based on a high-pass-filter (HPF) structure. It generates the power reference according to the fluctuating power and provides a stabilization effect. The power and energy supplied by ESS are majorly configured by the cut-off frequency and gain of the HPF. Considering the operational limits on ESS state-of-charge (SoC), this paper proposes an adaptive cut-off frequency design method to realize communication-less and autonomous operation of a system with multiple distributed ESS. The experimental results demonstrate that the SoCs of all ESS units are kept within safe margins, while the SoC level and power of the paralleled units converge to the final state, providing a natural plug-and-play function.
Original languageEnglish
JournalI E E E Transactions on Industrial Electronics
VolumePP
Issue number99
Number of pages12
ISSN0278-0046
DOI
StateE-pub ahead of print - 2018
Publication categoryResearch
Peer-reviewedYes

    Research areas

  • Energy storage system, Power smoothing, Adaptive control, State-of-charge, Microgrid, Distributed control
ID: 266951814