A neural network-based model reference control architecture for oscillation damping in interconnected power system

Waqar Uddin, Nadia Zeb, Kamran Zeb, Muhammad Ishfaq, Imran Khan, Saif Ul Islam, Ayesha Tanoli, Aun Haider, Hee Je Kim*, Gwan Soo Park

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In this paper, a model reference controller (MRC) based on a neural network (NN) is proposed for damping oscillations in electric power systems. Variation in reactive load, internal or external perturbation/faults, and asynchronization of the connected machine cause oscillations in power systems. If the oscillation is not damped properly, it will lead to a complete collapse of the power system. An MRC base unified power flow controller (UPFC) is proposed to mitigate the oscillations in 2-area, 4-machine interconnected power systems. The MRC controller is using the NN for training, as well as for plant identification. The proposed NN-based MRC controller is capable of damping power oscillations; hence, the system acquires a stable condition. The response of the proposed MRC is compared with the traditionally used proportional integral (PI) controller to validate its performance. The key performance indicator integral square error (ISE) and integral absolute error (IAE) of both controllers is calculated for single phase, two phase, and three phase faults. MATLAB/Simulink is used to implement and simulate the 2-area, 4-machine power system.

Original languageEnglish
Article number3653
JournalEnergies
Volume12
Issue number19
DOIs
StatePublished - 24 Sep 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 by the authors.

Keywords

  • Model reference control
  • Neural network
  • Non-linear control
  • Power oscillations
  • UPFC

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Engineering (miscellaneous)
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

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