Dissertação
Análise estocástica de transitórios em subestações utilizando o método de Monte Carlo integrado ao ATP
Fecha
2016-04-26Registro en:
KRAULICH, Leyla. Development of a graphics pre-processor software for
transient analysis in substations. 2016. 152 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Federal de Santa Maria, Santa Maria, 2016.
Autor
Kraulich, Leyla
Institución
Resumen
This work presents the development of a methodology that uses the resource foreign
model , offered by the Electromagnetic Transient Program (ATP-EMTP), in order to realize
electromagnetic transient stochastic simulations with emphasis in power substation applications.
Due to their stochastic nature, the simulations are performed by employing the Monte Carlo
Method to reproduce the randomness and uncertainties that are inherent to the precursory events
of some electromagnetic transients. The method is applied in the simulation in order to model
the type of study to be analyzed, corresponding to the most frequent and significant transients
that are found in substations. These events comprehend: occurrence and clearance of faults,
transformer inrush, circuit-breaker switchings and lightning strokes. The suggested methodology
allows the use of these resources through the graphical pre-processor software ATPDraw, and it
does not need the use of any other external computational tool. Hence, in order to demonstrate
the methodology potentialities, this work also presents some examples of applications through
ATP-EMTP simulations, employed in a real power system. Throughout this study, it seeks to aid
in simulations involving stochastic events in electromagnetic transients by adding new resources
to the ATP-EMTP. In addition, this work is a part of a research and development project in a
partnership between the Laboratório de Análise e Proteção de Sistemas Elétricos of the Centro
de Estudos em Energia e Sistemas de Potência (LAPES-CEESP), located at UFSM, and the
Companhia Estadual de Geração e Transmissão de Energia Elétrica (CEEE-GT) of the Rio
Grande do Sul state.