Coordinated Design and Comparison of Adaptive Power System and Controller Output Error Method

Authors

  • Dr. R. Manirajkumar Assistant Professor, Department of EEE, KLN College of Engineering, Madurai, India
  • Dr. M.Sangeetha Assistant Professor, Department of EEE, KLN College of Engineering, Madurai, India

DOI:

https://doi.org/10.54741/asejar.2.5.3

Keywords:

adaptive power systems, error method, controller

Abstract

This article describes how to improve the stability of a multimachine power system by simultaneously adjusting the PSS and static VAR compensator parameters with a Particle Swarm Optimized NeuroFuzzy controller. The controller works to enhance the dampening of the rotor speed deviations of its nearby generators by providing a reference voltage signal for the PSS & SVC. The field of intelligent control involves creating control algorithms by modeling specific traits of intelligent biological systems. The controller is trained offline by PSO and simulation results that describe the performance of the NeuroFuzzy controller are provided in order to provide nonlinear optimum control during abnormal operating circumstances of the power systems.

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Published

2023-09-30

How to Cite

Manirajkumar, R., & Sangeetha, M. (2023). Coordinated Design and Comparison of Adaptive Power System and Controller Output Error Method. Applied Science and Engineering Journal for Advanced Research, 2(5), 13–22. https://doi.org/10.54741/asejar.2.5.3

Issue

Vol. 2 No. 5 (2023): September Issue

Section

Articles

ARK

https://n2t.net/ark:/88926/ASEJAR.v2i5.64

License

Copyright (c) 2023 Dr. R. Manirajkumar, Dr. M.Sangeetha

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Research Articles in 'Applied Science and Engineering Journal for Advanced Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.