Model Predictive Voltage Control of Wind Power Plants

Haoran Zhao, Qiuwei Wu

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

    Abstract

    This chapter proposes an autonomous wind farm voltage controller (WFVC) based on model predictive control (MPC). It also introduces the analytical expressions for the voltage sensitivity to tap positions of a transformer. The chapter then describes the discrete models for the wind turbine generators (WTGs) and static var compensators (SVCs)/static var generators (SVGs). Next, it describes the implementation of the on‐load tap changing (OLTC) in the MPC. Furthermore, the chapter examines the cost function as well as the constraints of the MPC‐based WFVC for both control modes. In order to test the efficacy of the proposed WFVC, two case scenarios were designed: the wind farm is under normal operating conditions and the internal wind power fluctuation is considered; and besides internal power fluctuation, the impact of the external grid on the wind farm is considered.

    Original languageEnglish
    Title of host publicationModeling and Modern Control of Wind Power
    PublisherWiley-IEEE press
    Publication date2018
    Pages175-192
    Chapter9
    ISBN (Print)9781119236382
    DOIs
    Publication statusPublished - 2018

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