An Approach to Estimate Paramaters of a Three-Phase Synchronous Generator Model

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Author(s):	Geraldi, Edson L., Jr. ; Fernandes, Tatiane C. C. ; Ramos, Rodrigo A. ; IEEE Total Authors: 4
Document type:	Journal article
Source:	2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM); v. N/A, p. 5-pg., 2016-01-01.
Abstract
In this paper, in order to estimate the operational parameters of synchronous generator model suitable for unbalanced conditions, an approach which uses Trajectory Sensitivity Functions (TSF) and is based on Unscented Kalman Filter (UKF) is developed. In this framework, iniatilly, TSF are used to identify the parameters which most affect the behavior of the system. After the ordination of the parameters according to the TSF values, an iterative process which uses an estimation method based on the UKF is employed. Analyzing the results obtained by the approach when it estimates the parameters of a model of synchronous generator connected to a distribution system, we can verify that the proposed approach works efficiently. (AU)

FAPESP's process:	15/02569-6 - Modeling, analysis and control of power systems operating with distributed generation
Grantee:	Rodrigo Andrade Ramos
Support Opportunities:	Regular Research Grants


FAPESP's process:	13/01340-0 - Parameter estimation for models of distributed synchronous generators using noisy measurements
Grantee:	Edson Luis Geraldi Junior
Support Opportunities:	Scholarships in Brazil - Doctorate (Direct)