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Novel Curtailment Control Strategy for Wind Power Plants Based on the SQP Optimization

  • Kang Won Seo
  • , Dong Hee Choi*
  • , Sung Hoon Lim*
  • *Corresponding author for this work
  • Yonsei University
  • Cheongju University

Research output: Contribution to journalJournal articlepeer-review

Abstract

As the penetration level of renewable energy sources (RESs) increases, the output power of RESs needs to be curtailed to balance the power supply and load demand. Nevertheless, depending on the curtailment control strategy for wind power plants (WPPs), while the total amount of output power curtailment remains the same, the overall stored inertial energy within WPPs may vary. Furthermore, this stored inertial energy within WPPs can be used during disturbances to enhance frequency stability. This paper proposes a novel curtailment control strategy based on the sequential quadratic programming (SQP) optimization algorithm to effectively curtail WPPs and increase the overall stored inertial energy within WPPs. Then, the proposed solution can enhance frequency stability by providing a more inertial response from WPPs during disturbances. To verify the effectiveness of this novel curtailment control strategy, several case studies are conducted using the IEEE 39-bus system. The results show that the proposed curtailment control strategy effectively increases the stored inertial energy within WPPs while satisfying the required output power curtailment.

Original languageEnglish
Pages (from-to)909-918
Number of pages10
JournalJournal of Electrical Engineering and Technology
Volume19
Issue number2
DOIs
StatePublished - 2024.02

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Curtailment control strategy
  • Frequency stability
  • Inertial energy
  • Sequential quadratic programming

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