Optimizing Electrical Systems Stability: A Novel Lyapunov Framework for Harmonic Reduction and Power Quality Enhancement

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Abstract

This study investigates power quality improvement through a Lyapunov-based harmonic reduction strategy utilizing an Active Hybrid Power Filter (SHAPF). Central to this approach is the application of state feedback to maintain system stability. A practical case study examining the influence of a Nonlinear Load (NLL) on an IEEE 13-bus distribution system validates the proposed methodology. Implemented and scrutinized via Matlab/Simulink, this research encompasses the detailed modeling of the SHAPF, its control strategies, and the analysis of harmonic distortion data. Such an in-depth simulation facilitates a rigorous evaluation of the method in conditions mirroring real-world scenarios, shedding light on its efficacy and applicability. Harnessing the principles of Lyapunov theory alongside advanced control techniques, the objective is to markedly diminish harmonic distortions in power systems, thereby significantly improving power quality and Electrical Compatibility (EC). This contribution highlights a commitment to enhancing the reliability and quality of modern power system engineering through innovative solutions.

Original languageEnglish
Title of host publication2024 3rd International Conference on Power Systems and Electrical Technology, PSET 2024
Place of PublicationTokyo, Japan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages473-481
Number of pages9
ISBN (Electronic)9798350353204
DOIs
StatePublished - 2024
Event3rd International Conference on Power Systems and Electrical Technology, PSET 2024 - Tokyo, Japan
Duration: 5 Aug 20248 Aug 2024

Conference

Conference3rd International Conference on Power Systems and Electrical Technology, PSET 2024
Country/TerritoryJapan
CityTokyo
Period5/08/248/08/24

Keywords

  • Active Filters
  • Distribution Networks
  • Electrical Stability
  • Harmonic Reduction
  • Lyapunov Control
  • Nonlinear Loads
  • Power Quality
  • Sinusoidal Restoration
  • System Reliability

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