A Combined Reliability Model of VSC-HVDC Connected Offshore Wind Farms Considering Wind Speed Correlation

Yifei Guo, Houlei Gao, Qiuwei Wu

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    Abstract

    This paper proposes a combined reliability model of voltage source converter-based high voltage direct current (VSCHVDC) connected offshore wind farms (WFs) using the frequency and duration technique. Firstly, a two-dimensional multi-state WF model is developed considering wind speed variations and WTGs outage. The wind speed correlation between different WFs is included in the two-dimensional multistate WF model by using an improved k-means clustering method. Then, the entire system with two WFs and a threeterminal VSC-HVDC system is modeled as a multi-state generation unit. The proposed model is applied to the Roy Billinton test system (RBTS) for adequacy studies. Both the probability and frequency indices are calculated. The effectiveness and accuracy of the combined model is validated by comparing results with the sequential Monte Carlo simulation (MCS) method. The effects of the outage of VSC-HVDC system and wind speed correlation on the system reliability were analyzed. Sensitivity analyses were conducted to investigate the impact of repair time of the offshore VSC-HVDC system on system reliability.
    Original languageEnglish
    Article number7912299
    JournalIEEE Transactions on Sustainable Energy
    Volume8
    Issue number4
    Number of pages10
    ISSN1949-3029
    DOIs
    Publication statusPublished - 2017

    Bibliographical note

    (c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

    Keywords

    • Adequacy assessment
    • Analytical reliability model
    • Clustering technique
    • Frequency and duration technique
    • VSC-HVDC
    • Wind power

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