@inproceedings{adu-kum-20-aa-bachforw,
  author = {Adusumilii, Bala Surendra and Kumar, Boddeti Kalyan},
  title = {Backward/Forward Sweep based Power Flow Analysis of Distribution Systems under Uncertainty using New Affine Arithmetic Division}, 
  year = 2020,
  booktitle = {Proc. 2020 IEEE Power Energy Society Innovative Smart Grid Technologies Conference (ISGT)}, 
  volume = {},
  number = {},
  pages = {1-5},
  doi = {10.1109/ISGT45199.2020.9087718},
  comment = {Better AA division algorithm},
  abstract = {Power flow analysis is a very important study for planning and operation of power systems. Conventional power flow analysis techniques will fail when uncertainty is present in power injections. Adequate analytical techniques are required for power flow analysis under uncertainty. Affine Arithmetic (AA) is one of the effective tools to handle uncertainty. However, existing AA method lead to generation of extra noise terms in each division operation. The error in solution bounds increases because of these extra noise terms. In this work, backward/forward sweep (BFS) based power flow analysis, which do not generate any extra noise terms, is proposed. The proposed method is tested on 33 and 118 bus radial distribution systems. Simulation results are compared with Monte Carlo simulations based as well as existing AA-BFS based power flow analysis. Simulation results show that the proposed method is more accurate than existing AA-BFS based power flow analysis.},
}