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

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, obtai...

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Bibliographic Details
Main Authors: Jose L. Rueda, Francisco Gonzalez-Longatt, Istvan Erlich
Format: Default Conference proceeding
Published: 2015
Subjects:
Induction generator
Equivalent model
Parameter estimation
Variable Metric Method
Online Access:https://hdl.handle.net/2134/20503
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Summary: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.

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