This letter presents a novel model predictive control strategy without involving any proportional-integral-differential (PID) regulators for practical renewable energy based ac microgrids. The proposed method consists of a model predictive power control (MPPC) scheme and a model predictive voltage control (MPVC) scheme. By controlling the bidirectional buck-boost converters of the battery energy storage systems based on the MPPC algorithm, the fluctuating output from the renewable energy sources can be smoothed, while stable dc-bus voltages can be maintained as the inverters inputs. Then, the parallel inverters are controlled by using a combination of the MPVC scheme and the droop method to ensure stable ac voltage output and proper power sharing. Compared with the traditional cascade control, the proposed method is simpler and shows better performance, which is validated in simulation on MATLAB/Simulink and on Real-Time Laboratory (RT-LAB) platform.


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    Title :

    A Model Predictive Control for Renewable Energy Based AC Microgrids without Any PID Regulators


    Contributors:

    Publication date :

    2018-11-01


    Remarks:

    Shan , Y , Hu , J , Li , Z & Guerrero , J M 2018 , ' A Model Predictive Control for Renewable Energy Based AC Microgrids without Any PID Regulators ' , IEEE Transactions on Power Electronics , vol. 33 , no. 11 , 8329538 , pp. 9122-9126 . https://doi.org/10.1109/TPEL.2018.2822314



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



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