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The Discrete Load Frequency Control System Using a Robust Periodic Output Feedback Controller

  • Hukam Chand Kumawat
  • , Mahendra Bhadu
  • , Arvind Kumar
  • , Om Prakash Mahela
  • , Baseem Khan
  • , Divya Anand
  • , Jose Breñosa
  • Rajasthan Technical University
  • Rajasthan Rajya Vidyut Prasaran Nigam Ltd.
  • Universidad Internacional Iberoamericana
  • Hawassa University
  • Lovely Professional University
  • Universidad Europeadel Atlántico
  • Universidad Internacional Iberoamericana
  • Universidad Internacional Iberoamericana

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The load frequency control (LFC) is a most important tool for the frequency regulation mechanism in the widely spread modern power system. The LFC system consists of a communication structure to transmit the measurement and control signal. Usually the controllers in LFC systems are designed and implemented in continuous mode of operation. This article investigates the discrete mode load frequency control (LFC) mechanism, by employing the concept of the periodic output feedback (POF)-based controller with varying input and output sampling frequencies. Both the optimal sampling frequency and the optimal POF controller gain matrix are found by using the particle swarm optimization (PSO) method. The POF-based controller is intended for usage in two-area multisource LFC systems, with varying input and output sampling frequencies. The performance analysis takes into account a variety of scenarios, including those without a conventional stabilizer, with conventional continuous and corresponding discrete mode PSS, and a proposed discrete mode POF controller. Furthermore, the efficacy of the discrete mode POF controller is evaluated on the MATLAB/Simulink platform.

Original languageEnglish
Article number5349532
JournalJournal of Electrical and Computer Engineering
Volume2023
DOIs
Publication statusPublished - 2023
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • General Computer Science
  • Electrical and Electronic Engineering

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