Combined Active and Reactive Power Control of Wind Farms based on Model Predictive Control

Haoran Zhao, Qiuwei Wu, Jianhui Wang, Zhaoxi Liu, Mohammad Shahidehpour, Yusheng Xue

    Research output: Contribution to journalJournal articleResearchpeer-review

    821 Downloads (Orbit)

    Abstract

    This paper proposes a combined wind farm controller based on Model Predictive Control (MPC). Compared with the conventional decoupled active and reactive power control, the proposed control scheme considers the significant impact of active power on voltage variations due to the low X=R ratio of wind farm collector systems. The voltage control is improved. Besides, by coordination of active and reactive power, the Var capacity is optimized to prevent potential failures due to Var shortage, especially when the wind farm operates close to its full load. An analytical method is used to calculate the sensitivity
    coefficients to improve the computation efficiency and overcome the convergence problem. Two control modes are designed for both normal and emergency conditions. A wind farm with 20 wind turbines was used to verify the proposed combined control scheme.
    Original languageEnglish
    JournalIEEE Transactions on Energy Conversion
    Volume32
    Issue number3
    Pages (from-to)1177-1187
    Number of pages11
    ISSN0885-8969
    DOIs
    Publication statusPublished - 2017

    Fingerprint

    Dive into the research topics of 'Combined Active and Reactive Power Control of Wind Farms based on Model Predictive Control'. Together they form a unique fingerprint.

    Cite this