Intelligent frequency regulation in the wind integrated control area

Asma Aziz*, Aman Than Oo, Alex Stojcevski

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Reduction in system inertia due to the higher levels of wind plants in a power system inherently necessitates the frequency regulation investigations and motivates new opportunities for the improvement of active power control techniques. This paper focus on the load-frequency regulation analysis of a control area in the presence of a proposed wind energy technology. The proposed variable speed wind turbine generator model incorporates a dynamic dead-band and moving average frequency filter-based algorithm to provide grid-code compatible power-frequency response. The proposed wind plant model provides better frequency response and increased electrical power generation in comparison to the other frequency responsive wind turbine generator models. This paper also highlights the superiority of gain scheduling concept in fuzzy logic controllers as an improved alternative to various other load frequency controllers under the stochastic conditions in a wind integrated control area.

Original languageEnglish
Pages (from-to)324-347
Number of pages24
JournalComputers and Electrical Engineering
Volume72
DOIs
Publication statusPublished - Nov 2018
Externally publishedYes

Keywords

  • Gain scheduling
  • Frequency processor
  • Droop control
  • Dynamic dead-band
  • Fuzzy controller

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