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Parameter estimation for models of distributed synchronous generators using noisy measurements

Grant number: 13/01340-0
Support type:Scholarships in Brazil - Doctorate (Direct)
Effective date (Start): June 01, 2013
Effective date (End): February 28, 2018
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal researcher:Rodrigo Andrade Ramos
Grantee:Edson Luis Geraldi Junior
Home Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated scholarship(s):15/26509-2 - Development of a simplified model for the representation of distributed generation systems, BE.EP.DD

Abstract

This project proposes the development and the application of a parameter estimation method to a three-phase model of a synchronous generator, considering the possibility of operation under unbalanced three-phase conditions and taking into account the presence of noise in the measurements used for the mentioned estimation. The main focus of this project are distribution systems, in which distributed generation is emerging (such as small hydro power stations or cogeneration plants from sugar and ethanol production), and that operate under unbalanced conditions during most of the time. The research group in which the candidate is inserted has already built a track record of research in this theme, having developed a linearization procedure a two types of processes for modal identification in systems under the cited conditions. However, both the model developed by the group to underpin the mentioned studies and the other models available in software with capacity of three-phase representation of the synchronous machine - such as, for instance, the Electromagnetic Transients Program (EMTP) or the Alternative Transients Program (ATP) - require a precise knowledge of the parameters of their respective models to generate reliable results with respect to the behavior of the machine in practice. Parameter estimation methods are already present in the literature, but the proponents do not know any method that has been applied to generators operating under three-phase unbalanced conditions. Furthermore, it must be taken into account that the data which will serve as an input for such a method are, in practice, subjected to measurement noise, therefore requiring the development of a technique for the treatment of this noise in the estimation process. The joint development of these innovations confers originality and characterizes the contribution of this proposal to the research area in which it is inserted. A successful conclusion of this project may result in the consolidation of a procedure for the analysis of angle stability that is applicable to unbalanced three-phase systems which, in turn, may enable the analysis and operation of distributed generators more securely and precisely in comparison to the manner with which these generators are analyzed and operated today (i.e., neglecting the inherent load imbalance in distribution systems). (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
GERALDI JR, EDSON L.; FERNANDES, TATIANE C. C.; PIARDI, ARTUR B.; GRILO, AHDA P.; RAMOS, RODRIGO A. Parameter estimation of a synchronous generator model under unbalanced operating conditions. Electric Power Systems Research, v. 187, OCT 2020. Web of Science Citations: 0.
GERALDI, JR., EDSON L.; FERNANDES, TATIANE C. C.; RAMOS, RODRIGO A. A UKF-based approach to estimate parameters of a three-phase synchronous generator model. ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS, v. 9, n. 3, SI, p. 573-603, AUG 2018. Web of Science Citations: 0.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
JUNIOR, Edson Luis Geraldi. Parameter estimation for a three-phase distributed synchronous generator model using noisy measurements. 2018. Doctoral Thesis - Universidade de São Paulo (USP). Escola de Engenharia de São Carlos São Carlos.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.