SciELO - Scientific Electronic Library Online

vol.83 número195A mixed-integer linear programming model for harvesting, loading and transporting sugarcane.: A case study in PeruConversion of an existing electrostatic precipitator casing to Pulse Jet Fabric filter in fossil power plants índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados



Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google



versão impressa ISSN 0012-7353


SAGRE, Jorge W.; CANDELO, John E.  e  MONTANA, Johny H.. Voltage sag assessment using an extended fault positions method and Monte Carlo simulation. Dyna rev.fac.nac.minas [online]. 2016, vol.83, n.195, pp.180-188. ISSN 0012-7353.

In this article, we propose an extended fault positions method combined with the Monte Carlo method to evaluate voltage sags. The distribution function SARFI is obtained by taking into account the randomness of (i) location of faults in lines, (ii) generation dispatch, and (iii) the prefault voltage. Voltage magnitudes are calculated with power flow, while noting changes in the generation dispatch, the load, and the topology of the area of vulnerability (AOV). The method is tested in the Atlantic coast area of the National Interconnected Power System of Colombia. The distribution of the number of voltage sags per year with the magnitude in bus bars and the impact of generation on the voltage sags are determined. With a higher number of plants dispatched, voltage sags caused by faults are less severe due to the robustness of the power system and the voltage support. Operation with coupled bars had a greater impact on voltage sags compared to uncoupled bars.

Palavras-chave : electromagnetic compatibility; fault position method; Monte Carlo; power quality; voltage sags.

        · resumo em Espanhol     · texto em Inglês     · Inglês ( pdf )