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

Rueda, Jose L.; Gonzalez-Longatt, Francisco; Erlich, Istvan

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

conference contribution

posted on 2016-03-08, 14:45 authored by Jose L. Rueda, Francisco Gonzalez-LongattFrancisco 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

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

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