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.


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    Title :

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



    Publication date :

    2019-09-01


    Remarks:

    Vafamand , N , Yousefizadeh , S , Khooban , M H , Bendtsen , J D & Dragicevic , T 2019 , ' Adaptive TS Fuzzy-based MPC for DC Microgrids with Dynamic CPLs : Nonlinear Power Observer Approach ' , I E E E Systems Journal , vol. 13 , no. 3 , 8552394 , pp. 3203-3210 . https://doi.org/10.1109/JSYST.2018.2880135



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    621 / 629



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