Study on a modified reactive power allocation strategy of WF management system considering electrical loss reduction and flexibility in practical operation

Yeuntae Yoo, Jae Hyeong Lee, Gilsoo Jang, Minhan Yoon, Seungmin Jung

    Research output: Contribution to journalArticlepeer-review

    4 Citations (Scopus)

    Abstract

    The recent development of a number of advanced wind farm (WF) operation strategies, using designed verification studies, has resulted in various operational and economic improvements. These applications focused on stabilised conditions to confirm the improved effect derived from a maximum power extraction condition. In the case of large-scale WFs, however, a physical area with realistic environmental variations should be considered in order to conduct applicable case studies. In this study, the authors propose a modified reactive power allocation strategy, based on proportional techniques, with the system components of a WF structure for utilisation under a variety of practical situations. The proposed method introduces a modified loss prediction model, which takes the resistive components of the wind turbine into consideration. Each analysis is conducted to confirm the feasibility of active reference assignment in terms of loss reduction and flexibility. The simulations are based on electromagnetic transients using DC software tools to perform electrical loss estimation, in order to verify the effectiveness of this strategy.

    Original languageEnglish
    Pages (from-to)684-689
    Number of pages6
    JournalIET Renewable Power Generation
    Volume13
    Issue number5
    DOIs
    Publication statusPublished - 2019 Apr 8

    Bibliographical note

    Funding Information:
    This work was supported by the Korea Electric Power Corporation Grant R18XA06-40 and the Korea Institute of Energy Technology Evaluation and Planning/MOTIE (No. 20184030201900) funded by the Korean government.

    Publisher Copyright:
    © The Institution of Engineering and Technology 2019.

    ASJC Scopus subject areas

    • Renewable Energy, Sustainability and the Environment

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