Probabilistic power flow with correlated wind sources Articles uri icon

publication date

  • May 2010

start page

  • 641

end page

  • 651

issue

  • 5

volume

  • 4

International Standard Serial Number (ISSN)

  • 1751-8687

Electronic International Standard Serial Number (EISSN)

  • 1751-8695

abstract

  • A probabilistic power flow model that takes into account spatially correlated power sources and loads is proposed. It is particularly appropriate to assess the impact of intermittent generators such as wind power ones on a power network. The proposed model is solved using an extended point estimate method that accounts for dependencies among the input random variables (i.e. loads and power sources). The proposed probabilistic power flow model is illustrated through 24-bus and 118-bus case studies. Finally, conclusions are duly drawn.

subjects

  • Renewable Energies
  • Statistics

keywords

  • load-flow; uncertainty; cumulants; system