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System identification applied to a single area electric power system under frequency response

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posted on 2021-06-28, 09:55 authored by Jose Angel Barrios, Francisco Sanchez, F Gonzalez-Longatt, Gianfranco ClaudioGianfranco Claudio
This research paper proposes a methodology to apply identification methods to find a simplified model of three different governors in a single area electric power system (SAEPS). A SAEPS with different governors-turbine is presented: a hydraulic turbine, a steam turbine and a steam reheat turbine. In this same investigation, an analytic reduction has been performed, a fifth order system was found analytically, thus a transfer function equivalent to the three different governor-turbine elements was obtained, this equivalent transfer function models the complete behavior of the three devices. Two systems identification (SI) algorithms have been proposed to apply them to this generic subspace state-space (N4SID) and generalized poisson moment functionals (GPMF) electrical system, these presented similar results. The results of the performance and simulation analysis exhibit that using the SI technique, fifth, fourth and third-order systems were obtained that graphically show a very small estimation error compared to the original signal, this fact could be check simulating the simplified models using the same input-output data. The results are presented in a table that shows a comparison of the model respond the fifth, fourth, third and second-order systems.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Research Unit

  • Centre for Renewable Energy Systems Technology (CREST)

Published in

Indonesian Journal of Electrical Engineering and Computer Science

Volume

22

Pages

1236 - 1244

Publisher

Institute of Advanced Engineering and Science (IAES)

Version

  • VoR (Version of Record)

Publisher statement

This is an Open Access Article. It is published under the Creative Commons Attribution-Share Alike 4.0 International (CC BY SA). Full details of this licence are available at: https://creativecommons.org/licenses/by-sa/4.0/

Acceptance date

2021-05-19

Publication date

2021-06-13

Copyright date

2021

ISSN

2502-4752

Language

  • en

Depositor

Dr Gianfranco Claudio. Deposit date: 14 June 2021

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