Loading...

Optimal power flow solution by a modified particle swarm optimization algorithm

Hajian Hoseinabadi, H ; Sharif University of Technology | 2008

467 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/UPEC.2008.4651443
  3. Publisher: 2008
  4. Abstract:
  5. This paper presents a modified particle swarm optimization (MPSO) algorithm for solving the optimal power flow (OPF) problems. The main distinction of this approach is in using particle's worth experience in stead of the best previous experience. The proposed approach is evaluated on the IEEE 30-bus test system which minimizes the total fuel cost considering operational constraints such as power flow equations, transmission flow limits, bus voltages and reactive power of generators. The results obtained using the proposed approach are compared with results of other optimization methods
  6. Keywords:
  7. Bus voltage ; Fuel cost ; Modified particle swarm optimization ; Operational constraints ; Optimal power flow problem ; Optimal power flows ; Optimization method ; Power flow equations ; Test systems ; Acoustic generators ; Electric load flow ; Power electronics ; Particle swarm optimization (PSO)
  8. Source: Proceedings of the Universities Power Engineering Conference, 1 September 2008 through 4 September 2008, Padova ; 2008 ; 9788889884096 (ISBN)
  9. URL: https://ieeexplore.ieee.org/abstract/document/4651443