Cascaded Swarm Intelligence Algorithm For Automated Power Flow Studies
  • Author(s): Ojuka Otonye Ene ; Wokoma B. A.
  • Paper ID: 1701772
  • Page: 51-55
  • Published Date: 09-12-2019
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 3 Issue 6 December-2019
Abstract

Power flow being a pertinent study in electric power systems due to the fact that it exposes the behavior or state of the system under steady and unsteady operating condition. This paper considers power flow in the steady state domain with the aim of analyzing the state of a 4-bus 33kV distribution network.. A cascaded artificial intelligence (AI) based technique geared towards providing an automated power flow solution is being implemented in this work. Results at various per unit base values proved automated with less computational time with better convergence.

Keywords

Power Flow, Artificial Intelligence, Neural Network, Swarm Intelligence, Bee Colony Algorithm

Citations

IRE Journals:
Ojuka Otonye Ene , Wokoma B. A. "Cascaded Swarm Intelligence Algorithm For Automated Power Flow Studies" Iconic Research And Engineering Journals Volume 3 Issue 6 2020 Page 51-55

IEEE:
Ojuka Otonye Ene , Wokoma B. A. "Cascaded Swarm Intelligence Algorithm For Automated Power Flow Studies" Iconic Research And Engineering Journals, 3(6)