Dynamic optimal reactive power dispatch based on parallel particle swarm optimization algorithm

被引：46

作者：

Li, Ying ^{[1
]}

Cao, Yijia ^{[1
]}

Liu, Zhaoyan ^{[1
]}

Liu, Yi ^{[1
]}

Jiang, Quanyuan ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China

来源：

COMPUTERS & MATHEMATICS WITH APPLICATIONS | 2009年 / 57卷 / 11-12期

关键词：

Dynamic optimal reactive power dispatch (DORPD); Parallel computing; Particle swarm optimization (PSO); Power system;

D O I：

10.1016/j.camwa.2008.10.049

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：1835 / 1842

页数：8

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