Adaptive Droop-based Hierarchical Optimal Voltage Control Scheme for VSC-HVDC Connected Offshore Wind Farm

Sheng Huang, Qiuwei Wu*, Wu Liao, Gongping Wu, Xueping Li, Juan Wei

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    An adaptive droop-based hierarchical optimal voltage control (DHOVC) scheme is proposed for voltage-source converter high-voltage-direct-current (VSC-HVDC) connected offshore wind farms (WFs). The wind turbines (WTs) and WF side VSC (WFVSC) are coordinated to minimize the voltage deviations of buses inside the WF from the nominal voltage and mitigate reactive power (Var) fluctuations of WTs. The model predictive control (MPC) is used to improve the performance of the DHOVC scheme during a certain predictive horizon. A hierarchical solution method based on the alternating direction method of multipliers (ADMM) is developed to reduce the calculation burden of the central controller while improving the information privacy protection. During the predictive horizon, the WTs and WFVSC are coordinated to achieve the near global optimal performance without global information. A WF with 32 × 5MW WTs was used in the matlab/simulink to test the proposed DHOVC scheme.
    Original languageEnglish
    JournalIEEE Transactions on Industrial Informatics
    Volume17
    Issue number12
    Pages (from-to)8165 - 8176
    ISSN1551-3203
    DOIs
    Publication statusPublished - 2021

    Keywords

    • Alternating direction method of multipliers
    • Droop curve
    • Model predictive control
    • Voltage control
    • Wind farm

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