-
Guacira Costa de Oliveira
Polytechnic School, University of São Paulo, São Paulo
-
Renato Machado Monaro
Polytechnic School, University of São Paulo, São Paulo
-
Denis Vinicius Coury
São Carlos School of Engineering, University of São Paulo, São Paulo
-
Mario Oleskovicz
São Carlos School of Engineering, University of São Paulo, São Paulo
-
Gilney Damm
COSYS-LISIS, IFSTTAR, Université Gustave Eiffel,Marne-la-Valléee
Keywords:
Probabilistic Short Circuit, Monte Carlo, HVDC, Source Converter, PDF, CDF
Abstract
The main objective of this research is to carry out a probabilistic short circuit analysis, using the Monte Carlo Method (MCM), applied to Voltage Source Converter (VSC)- High Voltage Direct Current (HVDC) systems. The definition of stochastic parameters and a method to ensure statistical significance of the phenomenon under analysis are addressed. Due to the large number of cases involved in the MCM calculation, parallel programming hosted in a cloud computing environment was used. This procedure saves a considerable amount of time in the process, especially considering the time that would be spent using conventional transient programs. The result is the probabilistic density function that shows the probability of overcurrent and overvoltage magnitudes that the system may experience. This information is particularly important for component design, protection setting, life time expectancy assessment, grid stability and maintenance planning.
