@article{abe-rao-nai-17-aa-powflow,
  title = {Load Flow Analysis of an Uncertain System in the Presence of Renewable Energy Sources Using Complex Affine Arithmetic},
  author = {Yoseph Mekonnen Abebe and P Mallikarjuna Rao and M Gopichand Naik},
  journal = {Journal on Electrical Engineering},
  publisher = {i-Manager},
  volume = {10},
  number = {4},
  pages = {28-40},
  issn = {09738835},
  year = 2017,
  url = {https://search.proquest.com/openview/87b5c2a9e87d6c2de6c48d5eef8b6539/1},
  month = jun,
  note = {No DOI. Predatory journal?},
  abstract = {The limitation of fossil fuel resource and its effects on global warming leads to the increased usage of Renewable Energy Sources (RES). Even though the Renewable Energy Sources (RES) notably wind and solar energy are advantageous in many aspects their intermittent nature is a great deal of concern in power system control. The penetration of such renewable energy source makes the generation uncertain and leads to uncertainty based steady state analysis. In this paper, a complex Affine Arithmetic (AA) based load flow analysis in the presence of generation and load uncertainty is proposed. Vectorial representation is applied to denote the partial deviation values of the variables. The proposed approach is tested on a conventional IEEE test bus systems and the result is compared with the Monte Carlo Approach. In terms of fast convergence, less memory usage, and conservatism, the proposed approach is superior than the traditional random number based Monte Carlo approach.}
}