Adaptive TS Fuzzy-based MPC for DC Microgrids with Dynamic CPLs: Nonlinear Power Observer Approach

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Abstract

The performance of a DC microgrid (MG)
might degrade because of the dynamics of constant power
loads (CPLs). In this paper, a novel adaptive controller is
proposed to mitigate the destructive effect of the timevarying uncertain CPLs. To this aim, a nonlinear
disturbance observer (NDOB) is developed to estimate the
instantaneous power of the CPLs. The estimated CPLs
powers are then employed in a Takagi-Sugeno (TS) fuzzybased model predictive control (MPC) to adaptively modify
the injecting current of the energy storage system (ESS).
The proposed approach is applied to a DC MG testbed that
feeds one CPL. Experimental results show the effectiveness
of the proposed adaptive controller to increase the stability
margin and improve the transient response of the DC MG.
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Details

The performance of a DC microgrid (MG)
might degrade because of the dynamics of constant power
loads (CPLs). In this paper, a novel adaptive controller is
proposed to mitigate the destructive effect of the timevarying uncertain CPLs. To this aim, a nonlinear
disturbance observer (NDOB) is developed to estimate the
instantaneous power of the CPLs. The estimated CPLs
powers are then employed in a Takagi-Sugeno (TS) fuzzybased model predictive control (MPC) to adaptively modify
the injecting current of the energy storage system (ESS).
The proposed approach is applied to a DC MG testbed that
feeds one CPL. Experimental results show the effectiveness
of the proposed adaptive controller to increase the stability
margin and improve the transient response of the DC MG.
Original languageEnglish
JournalI E E E Systems Journal
Number of pages8
ISSN1932-8184
DOI
Publication statusE-pub ahead of print - 2019
Publication categoryResearch
Peer-reviewedYes

    Research areas

  • DC microgrid (MG), Takagi–Sugeno (TS) fuzzy model, model predictive controller (MPC), non-ideal constant power load (CPL), nonlinear power observer

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