Section: New Results

Distributed Particle Swarm Optimization Algorithm for the Optimal Power Flow Problem

Participants : Guillaume Sandou, Nicolo Gionfra [CentraleSupélec] , Houria Siguerdidjane [CentraleSupélec] , Damien Faille [EDF] , Philippe Loevenbruck [CentraleSupélec] .

The distributed optimal power flow problem has been addressed. No assumptions on the problem cost function, and network topology are needed to solve the optimization problem. A particle swarm optimization algorithm is proposed, based on Deb's rule to handle hard constraints. Moreover, the approach enables to treat a class of distributed optimization problems, via a population based algorithm, in which the agents share a common optimization variable. A simulation example is provided, based on a 5-bus electric grid. [51].