Optimized LFC Design for Future Low-Inertia Power Electronics Based Modern Power Grids

  • Mokhtar Aly
  • , Emad A. Mohamed
  • , Husam A. Ramadan
  • , Ahmed Elmelegi
  • , Sayed M. Said
  • , Emad M. Ahmed
  • , Ahmed Shawky
  • , Jose Rodriguez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Numerous renewable energy source (RES) plants have lately been added to modern power grids. Power electronics converter systems (PECS) have become key components in the structures of these RESs for grid integration. However, PECS-based RESs result in decreased power system inertia, which reduces as penetration increases. Load frequency controllers (LFCs) have enhanced the performance of current power grids based on PECS. As a result, this study provides an optimal LFC structure based on merging characteristics from standard Tilt-Integral-Derivative (TID) and fractional order-based proportional-integral-derivative (FOPID) controllers in a novel combined FOTID LFC technique. The recently announced slime mould algorithm (SMA) was used to optimize the parameters of the proposed LFC. The results of a two-area RES-based power grid simulation are utilized to validate the proposed TFOID controller and the SMA-based design optimization.

Original languageEnglish
Title of host publicationIEEE Conference on Power Electronics and Renewable Energy, CPERE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665452335
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023 - Luxor, Egypt
Duration: 19 Feb 202321 Feb 2023

Publication series

NameIEEE Conference on Power Electronics and Renewable Energy, CPERE 2023

Conference

Conference2023 IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023
Country/TerritoryEgypt
CityLuxor
Period19/02/2321/02/23

Keywords

  • Fractional order control
  • load frequency controller
  • power electronics converters
  • renewable energy sources
  • slime mould algorithm (SMA)

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