A Novel Hybrid Ant Colony-Particle Swarm Optimization Techniques Based Tuning STATCOM for Grid Code Compliance

Omar Makram Kamel, Ahmed A.Zaki Diab, Ton Duc Do, Mahmoud A. Mossa

Research output: Contribution to journalArticle

Abstract

Integrating wind power plants (WPPs) into power systems are increasing dramatically now a day. However, the dynamic performance of power systems will be affected by the large penetration level of such renewable sources of energy. From this context power system operators and transmission system operators have put regulation rules to keep pushing wind power plants to safeguard limits that keep power system more stable and reliable. One of these rules is providing a low voltage ride through (LVRT) for wind farms without disconnecting it from the power system. The current paper implements the STATCOM as a LVRT for a 9 MW wind farm connected to the grid through transmission system of 120 kV. For enhancing the dynamic performance of STATCOM, two types of optimization methodologies: ant colony (ACO) and particle swarm optimization (PSO), are proposed to fine tune the coefficients of PI controllers to optimally manage the STATCOM dynamics.

Original languageEnglish
Article number9016268
Pages (from-to)41566-41587
Number of pages22
JournalIEEE Access
Volume8
DOIs
Publication statusPublished - Jan 1 2020

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Keywords

  • ACO
  • DFIG
  • Fuzzy controller
  • HPA
  • PI
  • PSO
  • STATCOM
  • THD
  • VSC
  • WT

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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