Model Predictive Control Based Voltage Regulation Strategy Using Wind Farm as Black-Start Source

Weipeng Liu, Yutian Liu, Lei Wu

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

A coordinated voltage regulation method based on model predictive control (MPC) is proposed in this paper for utilizing wind farms (WF) as black-start (BS) source to start up a thermal generating unit. The reactive power regulation devices with different dynamic response characteristics including wind turbine generators (WTGs), energy storage system (ESS), and static var generator (SVG) are coordinated by the proposed MPC to handle disturbances caused by ancillary machine start during the BS process. The reactive power sharing between WTGs is optimized to maximize the dynamic reactive power reserve. The capabilities of ESS and SVG in providing sufficient dynamic reactive power against disturbances are also fully exploited, which helps accelerate voltage recovery for low voltage ride through to avoid the tripping incidents of WTGs. The impact of active power on bus voltage variation due to low X/R ratio is also considered. The reactive power and active power of WTGs and ESS are coordinately controlled for handling voltage disturbance without harming frequency control. A WF with 33 WTGs rated 1.5 MW each is used in case studies to demonstrate the enhanced disturbance handling capability of the proposed voltage regulation strategy during BS progress.

Original languageEnglish
Pages (from-to)1122-1134
Number of pages13
JournalIEEE Transactions on Sustainable Energy
Volume14
Issue number2
DOIs
StatePublished - 1 Apr 2023

Keywords

  • Black-start
  • energy storage system
  • model predictive control
  • power system restoration
  • static var generator
  • voltage regulation
  • wind power generation

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