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Selection of Inertial and Power Curtailment Control Methods for Wind Power Plants to Enhance Frequency Stability

  • Sunghoon Lim
  • , Seung Mook Baek*
  • , Jung Wook Park*
  • *Corresponding author for this work
  • Yonsei University
  • Kongju National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

As renewable energy penetrates the power system, system operators are required to curtail output power from generation units to balance the power supply and demand. However, large curtailment from wind power plants (WPPs) may instantly cause excessive output power decrement, causing system frequency to drop significantly before reaching its nominal value. In order to solve this problem, this paper proposes a cooperative control framework to determine the operation of WPPs in two control methods, which are the stepwise inertial control (SIC) method and the curtailed control method. The proposed framework first determines the WPPs to operate in the curtailed control method to provide the required power curtailment. Next, it determines the WPPs to operate in the SIC method considering their releasable kinetic energy to provide an effective inertial response and compensate for the sudden excessive output power decrement caused by other WPPs operated in the curtailed control method. Therefore, each WPP is operated in one of two control methods to provide required power curtailment while reducing the sudden excessive output power decrement. To verify the effectiveness of the proposed cooperative control framework, several case studies are carried out on the practical South Korea electric power system.

Original languageEnglish
Article number2630
JournalEnergies
Volume15
Issue number7
DOIs
StatePublished - 2022.04.1

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

  • frequency stability
  • power curtailment
  • stepwise inertial control
  • supply and demand
  • wind power plant

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