Paper Info
Title
Dynamic optimal reactive power dispatch based on parallel particle swarm optimization algorithm
Abstract
In this paper, Message Passing Interface (MPI) based parallel computation and particle swarm optimization (PSO) algorithm are combined to form the parallel particle swarm optimization (PPSO) method for solving the dynamic optimal reactive power dispatch (DORPD) problem in power systems. In the proposed algorithm, the DORPD problem is divided into smaller ones, which can be carried out concurrently by multi-processors. This method is evaluated on a group of IEEE power systems test cases with time-varying loads in which the control of the generator terminal voltages, tap position of transformers and reactive power sources are involved to minimize the transmission power loss and the costs of adjusting the control devices. The simulation results demonstrate the accuracy of the PPSO algorithm and its capability of greatly reducing the runtimes of the DORPD programs.
Year
DOI
Venue
2009
10.1016/j.camwa.2008.10.049
Computers & Mathematics with Applications
Keywords
DocType
Volume
ieee power systems test,dorpd problem,proposed algorithm,transmission power loss,dynamic optimal reactive power,reactive power source,dorpd program,ppso algorithm,parallel computing,particle swarm optimization (pso),dynamic optimal reactive power dispatch (dorpd),power system,control device,parallel particle swarm optimization,particle swarm optimization,optimization,parallel computation,reactive power,power systems,parallel computer,message passing interface,optimization problem,load flow,supercomputer
Journal
57
Issue
ISSN
Citations 
11-12
Computers and Mathematics with Applications
10
PageRank 
References 
Authors
0.95
0
5
Name
Order
Citations
PageRank
Ying Li142245.61
Yi-Jia Cao28926.51
Zhaoyan Liu3164.49
Yi Liu4283.86
Quan-Yuan Jiang5112.66