Dynamic Stability Enhancement of Wind Power Generation with Static VAR Compensator using Multiobjective Optimization Algorithms

Authors

  • Ezzeddine Salah Touti Department of Electrical Engineering, College of Engineering, Northern Border University, Saudi Arabia https://orcid.org/0000-0002-5328-9528
  • Mohamed Fterich Industrial Engineering Department, College of Engineering, Northern Border University, Saudi Arabia
  • Aamir Ali Department of Electrical Engineering, Quaid-e-Awam University of Engineering Science and Technology, Pakistan
Volume: 14 | Issue: 4 | Pages: 15325-15329 | August 2024 | https://doi.org/10.48084/etasr.7732

Abstract

Renewable energy, particularly wind energy, is expected to contribute significantly to the overall power generation. Induction machines are extensively used as generators in wind power generation because of their multiple benefits, such as robustness, reliability, and low cost and maintenance. However, due to the reactive power demand from the system to which they are connected, this type of generator brings new problems related to power quality, generally consisting of voltage regulation and reactive power compensation. These problems may cause voltage drops and dynamic instability. This study presents a metaheuristic method to attain a microgrid system with an optimal distribution based on its different constraints. The numerical model of an induction generator constructed in MATLAB/Simulink was used, and the simulation results obtained demonstrate the efficacy of the proposed metaheuristic technique.

Keywords:

induction generator, optimization, voltage regulation, reactive power, wind energy

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How to Cite

[1]
Touti, E.S., Fterich, M. and Ali, A. 2024. Dynamic Stability Enhancement of Wind Power Generation with Static VAR Compensator using Multiobjective Optimization Algorithms. Engineering, Technology & Applied Science Research. 14, 4 (Aug. 2024), 15325–15329. DOI:https://doi.org/10.48084/etasr.7732.

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