Dynamic Power Tariff for Congestion Management in Distribution Networks

Shaojun Huang, Qiuwei Wu*, Mohammad Shahidehpour, Zhaoxi Liu

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

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    This paper proposes dynamic power tariff (DPT), a new concept for congestion management in distribution networks with high penetration of electric vehicles (EVs), and heat pumps (HPs). The DPT concept is proposed to overcome a drawback of the dynamic tariff (DT) method, i.e., DPT can replace the price sensitivity parameter in the DT method, which is relatively unrealistic in practice. Based on the control theory, a control model with two control loops, i.e., the power flow control and voltage control, is established to analyze the congestion management process by the DPT method. Furthermore, an iterative method based on distributed optimization is proposed to determine the DPT rates, which enables active participation of aggregators in the congestion management. The case studies demonstrate the efficacy of the DPT method for congestion management in distribution networks, and show its ability to save congestion management cost compared to the DT methods.
    Original languageEnglish
    Article number1-10
    JournalIEEE Transactions on Smart Grid
    Number of pages10
    Publication statusPublished - 2018


    • Congestion management
    • Distribution system operator (DSO)
    • Distributed optimization
    • Dynamic power tariff (DPT)
    • Electric vehicle (EV)
    • Heat pump (HP)


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