Vector Swarm Optimization Algorithm for Distributed Generator Allocation

Sara MOLAZEİ; Mahmoud Oukati SADEGH

Article Details

Vector Swarm Optimization Algorithm for Distributed Generator Allocation

Authors:

Sara MOLAZEİ | Mahmoud Oukati SADEGH

Publisher:

İlhami ÇOLAK

Journal:

International Journal Of Renewable Energy Research 2013 Vol.3 Issue 1, pp.161-166

Document Type:

Article

Publication Date:

2/2013

Document Language:

English

Document ID (Org No.):

2000819223

Frequency:

Monthly

pISSN:

1309-0127

Abstract:

 

In recent years Evolutionary Algorithms (EAs) have been used in solving many numerical optimization problems and their strengths and weaknesses are identified and new strategies for improving them are provided. This paper presents the Vectors Swarm Optimization (VSO) Algorithm for the placement of Distributed Generators (DGs) in the radial distribution systems to reduce the real power losses and to improve the voltage profile. A tow-step procedure is used for the optimal DG placement method. In the first step, single DG placement method is used to fine the optimal DG locations and in the second step, VSO algorithm is used to find the size of the DGs corresponding to maximum loss reduction. The proposed method is tested on standard IEEE 33-bus test system and the results are presented. The proposed method has overcome the other methods in terms of the quality of solution and computational efficiency.

Article Details

Vector Swarm Optimization Algorithm for Distributed Generator Allocation

Authors: Sara MOLAZEİ | Mahmoud Oukati SADEGH

Publisher: İlhami ÇOLAK

Journal: International Journal Of Renewable Energy Research 2013 Vol.3 Issue 1, pp.161-166

Document Type: Article

Publication Date: 2/2013

Document Language: English

Document ID (Org No.): 2000819223

Frequency: Monthly

pISSN: 1309-0127

Issues

Authors:

Sara MOLAZEİ | Mahmoud Oukati SADEGH

Publisher:

İlhami ÇOLAK

Journal:

International Journal Of Renewable Energy Research 2013 Vol.3 Issue 1, pp.161-166

Document Type:

Article

Publication Date:

2/2013

Document Language:

English

Document ID (Org No.):

2000819223

Frequency:

Monthly

pISSN:

1309-0127