Modular multilevel converter with supercapacitor (SC) packs-based energy storage system (MMC-SESS) can play a role in energy transition and renewable energy consumption. However, SESS’s imbalance problem is caused by the inconsistency of its packs, which has a negative effect on the utilization of the MMC-SESS and has become a hot research topic. Confronting this problem, this paper proposes a state of charge (SOC) balancing control strategy amongst SC packs based on a discrete time-domain predictive power model in MMC-SESS based medium-voltage direct-current (MVDC). It is a double-loop control to accurately control the charging and discharging power. The outer power control establishes a discrete time-domain predictive power model for the SOC differences. The inner current loop designs a hybrid controller based on the continuous control set-model prediction control (CCS-MPC) and the feedback control strategy to accurately track the dynamic current reference. Simulations in PSCAD/EMTDC have shown that the proposed control can achieve SOC balancing amongst SC packs and improve the dynamic response as well as mitigate the SC pack current ripples.


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    Title :

    SOC Balancing Control Based on Predictive Power Model Amongst Supercapacitor Packs in MMC with Embedded Energy Storage System


    Contributors:
    Xu, Jianzhong (author) / Wang, Jin’an (author) / Wang, Feng (author) / Wang, Junxin (author) / Li, Gen (author)

    Publication date :

    2023-01-01


    Remarks:

    Xu , J , Wang , J , Wang , F , Wang , J & Li , G 2023 , ' SOC Balancing Control Based on Predictive Power Model Amongst Supercapacitor Packs in MMC with Embedded Energy Storage System ' , IEEE Transactions on Power Delivery , vol. 38 , no. 4 , pp. 2641-2649 . https://doi.org/10.1109/TPWRD.2023.3250469



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629