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

Navid Vafamand, Shirin Yousefizadeh, Mohammad Hassan Khooban, Jan Dimon Bendtsen, Tomislav Dragicevic

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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 time-varying uncertain CPLs. A nonlinear disturbance observer is developed to estimate the instantaneous power of the CPLs. The estimated CPLs powers are then employed in a Takagi–Sugeno fuzzy-based model predictive control strategy, aiming to adaptively modify the injecting current of the energy storage system. The proposed approach is applied to a dc MG testbed that feeds one CPL. Experimental results show that the proposed adaptive controller is able to increase the stability margin and improve the transient response of the dc MG.

Original languageEnglish
Article number8552394
JournalI E E E Systems Journal
Volume13
Issue number3
Pages (from-to)3203-3210
Number of pages8
ISSN1932-8184
DOIs
Publication statusPublished - Sept 2019

Keywords

  • 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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