Particle swarm optimization for micro-grid power management and load scheduling

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift


A smart power management strategy is needed to economically manage local production and consumption while maintaining the balance between supply and demand. Finding the best-distributed generators’ set-points and the best city demand scheduling can lead to moderate and judicious use out of critical moments without compromising smart city residents’ comfort. This paper aimed at applying the Particle Swarm Optimization (PSO) to minimize the operating cost of the consumed energy in a smart city supplied by a micro-grid. Two PSO algorithms were developed in two steps to find the optimal operating set-points. The first PSO algorithm led to the optimal set-points powers of all micro-grid generators that can satisfy the non-shiftable needs of the smart city demand with a low operating cost. While the second PSO algorithm aimed at scheduling the shiftable city demand in order to avoid peak hours when the operating cost is high. The results showed that the operating costs during the day were remarkably reduced by using optimal distributed generators’ set-points and scheduling shiftable loads out of peaks hours. To conclude, the main advantages of the proposed methodology are the improvement in the local energy efficiency of the micro-grid and the reduction in the energy consumption costs.


  • Abdelfettah Kerboua
  • Fouad Boukli-Hacene
  • Khaldoon A. Mourad
Enheter & grupper
Externa organisationer
  • Ecole Supérieure en Sciences Appliquées de Tlemcen

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Energisystem


Sidor (från-till)71-80
Antal sidor10
TidskriftInternational Journal of Energy Economics and Policy
Utgåva nummer2
StatusPublished - 2020
Peer review utfördJa