Stochastic assessment of frequency support from wind power plants for power system with high wind penetration using correlation between wind farms

Yeuntae Yoo, Gilsoo Jang, Seungmin Jung

Research output: Contribution to journalArticlepeer-review

Abstract

The increase of renewable energy use in a power generation decreases the flexibility of power supply. The intermittent and variable nature of renewable resources necessitates the use of a transmission system operator to prepare reserve generating power in case of power imbalance. Unfortunately, the generation and reserve margins of renewable energy generators are often insufficient. To ensure a balanced and resilient power system, surplus power generation from renewable resources must provide frequency support with the essential number of synchronous generators being remained in the network. Assessment of the amount of frequency support power from wind farm became available through forecast and real-time operation planning. However, the exact amount of back-up power that expected to be provided by individual wind farm can be barely determined due to the uncertainty and variation of renewable resources generation. A stochastic method for assessing the required frequency support operation of specific wind power plants is thus proposed in this paper. The stochastic correlation characteristics between a single wind farm and power system stability are applied in this method. The essential metrics for deloading operation and inertia response are calculated using the stochastic correlation model based on copula function.

Original languageEnglish
Pages (from-to)2372-2383
Number of pages12
JournalIET Renewable Power Generation
Volume16
Issue number11
DOIs
Publication statusPublished - 2022 Aug 17

Bibliographical note

Publisher Copyright:
© 2022 The Authors. IET Renewable Power Generation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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