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Load frequency management for a two-area system (Thermal-PV Hydel-PV) by swarm optimization based intelligent algorithms

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

12 Scopus citations

Abstract

Load Frequency Control (LFC) has become of crucial importance in modern power systems on account of varying demand and generation trends. To maintain the frequency variations and minimize the tie line power fluctuations, various soft computing techniques have been used for fine tuning of PID controller in LFC problems. This paper presents a comparative analysis of various swarm optimization-based intelligent algorithms for LFC problems. From simulation results obtained via Simulink (MATLAB), the frequency variations in each area, tie-line power fluctuation profile as well as the convergence trend for each algorithm has been analyzed in this paper. Besides various system parameters such as percentage overshoot, settling time, rise timeand steady state error, different performance indices have also been computed against each swarm intelligence-based algorithm.

Original languageEnglish
Title of host publication2021 International Conference on Emerging Power Technologies, ICEPT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665412933
DOIs
StatePublished - 10 Apr 2021
Externally publishedYes

Publication series

Name2021 International Conference on Emerging Power Technologies, ICEPT 2021

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Ant Colony Optimization (ACO)
  • Artificial Bee Colony(ABC)
  • Firefly Algorithm (FA)
  • Load Frequency Control (LFC)

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Modeling and Simulation

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