Application of Hybrid Multiagent-based Particle Swarm Optimization to Optimal Reactive Power Dispatch

Reactive power dispatch (RPD) is an optimization problem that determines variables, such as reactive power outputs of generators, output of shunt capacitors/reactors, etc., and minimizes the transmission losses, satisfying a given set of constraints. To solve the optimal reactive power dispatch (ORP...

Full description

Saved in:
Bibliographic Details
Published in:Electric power components and systems 2008-08, Vol.36 (8), p.788-800
Main Authors: Shunmugalatha, A., Slochanal, S. Mary Raja
Format: Article
Language:English
Subjects:
breeding and subpopulation
multiagent system
particle swarm optimization
real power loss minimization
voltage stability
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Reactive power dispatch (RPD) is an optimization problem that determines variables, such as reactive power outputs of generators, output of shunt capacitors/reactors, etc., and minimizes the transmission losses, satisfying a given set of constraints. To solve the optimal reactive power dispatch (ORPD), this article proposes a new method, called hybrid multiagent-based particle swarm optimization, which does not allow the search to struck at local optima and search in different zones of the search space. Simulation results show that the proposed approach converges to better solutions faster than the earlier approaches when evaluated on IEEE 30-bus and IEEE 118-bus systems.
ISSN:1532-5008
1532-5016
DOI:10.1080/15325000801911385