A Novel Distributed Particle Swarm Optimization Algorithm for the Optimal Power Flow Problem - Archive ouverte HAL Access content directly
Conference Papers Year : 2017

A Novel Distributed Particle Swarm Optimization Algorithm for the Optimal Power Flow Problem

(1) , (1, 2) , (1) , (3) , (4)
1
2
3
4

Abstract

The distributed optimal power flow problem is addressed. No assumptions on the problem cost function, and network topology are needed to solve the optimization problem. A distributed 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 in which the agents share a common optimization variable. Under mild communication assumptions, agents are only required to know local variables, cost function, and constraints to solve a common optimization problem. A simulation example is provided, based on a 5-bus electric grid.
Fichier principal
Vignette du fichier
A Novel Distributed PSO Algorithm for the OPF problem.pdf (632.58 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01667868 , version 1 (19-12-2017)

Identifiers

Cite

Nicolo Gionfra, Guillaume Sandou, Houria Siguerdidjane, Philippe Loevenbruck, Damien Faille. A Novel Distributed Particle Swarm Optimization Algorithm for the Optimal Power Flow Problem. 1st IEEE Conference on Control Technology and Applications (CCTA 2017), Aug 2017, Kohala Coast, United States. pp.1-8, ⟨10.1109/ccta.2017.8062537⟩. ⟨hal-01667868⟩
143 View
412 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More