Online estimation of Equivalent Model for cluster of induction generators A MVMO-based approach.pdf (334.99 kB)

Online estimation of equivalent model for cluster of induction generators: a MVMO-based approach

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conference contribution
posted on 08.03.2016, 14:45 by Jose L. Rueda, Francisco Gonzalez-Longatt, Istvan Erlich
This paper presents an approach based on the hybrid variant of the mean-variance mapping optimization algorithm (MVMO-SH) for the estimation of an Equivalent Model for a cluster of induction generators (IGs) from the on-line system response to a system frequency disturbance. Numerical results, obtained by using a small-size test system, demonstrate the viewpoint and effectiveness of the proposed approach.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Research Unit

  • Centre for Renewable Energy Systems Technology (CREST)

Published in

12th Intelligent Systems Applications to Power Systems Conference and Debate (ISAP)

Citation

RUEDA, J.L., GONZALEZ-LONGATT, F.M. and ERLICH, I., 2015. Online estimation of equivalent model for cluster of induction generators: a MVMO-based approach. 12th Intelligent Systems Applications to Power Systems Conference and Debate (ISAP), Porto, Portugal, 11th-16th September 2015

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

Notes

© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Language

en

Location

Porto, Portugal

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