Optimal DG allocation for enhancing voltage stability and minimizing power loss using hybrid gray wolf optimizer

Salah KAMEL; Ayman AWAD; Hussein ABDEL-MAWGOUD; Francisco JURADO

Article Details

Optimal DG allocation for enhancing voltage stability and minimizing power loss using hybrid gray wolf optimizer

Authors:

Salah KAMEL | Ayman AWAD | Hussein ABDEL-MAWGOUD | Francisco JURADO

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 4, pp.2947-2961

Document Type:

Article

Publication Date:

7/2019

Document Language:

English

Document ID (Org No.):

2000733872

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

High penetration of photovoltaic and wind turbine-based distributed generators (DGs) can help reduce  carbon emissions which is an important goal for the whole world. DG can be used to improve the voltage stability,  present generation reserve/emergency, and consequently, the system power quality can be improved. However, it is  very important to select the right size and location of a DG so that the power system can increase the gained benefits  of such an installation to the maximum. In this paper, a hybrid optimization technique is proposed to determine the  optimal allocation of DG in the standard IEEE 33-bus radial distribution system in order to improve the voltage stability  and minimize the total power loss. The proposed hyprid technique is based on the gray wolf optimizer algorithm with  loss sensitivity factor. The performance of the system is analyzed without DG installation, then it is compared with  the performance of the system when DGs are installed with the predefined optimal sizes and locations. The study is  performed by MATLAB M-Files and NEPLAN software.

Article Details

Optimal DG allocation for enhancing voltage stability and minimizing power loss using hybrid gray wolf optimizer

Authors: Salah KAMEL | Ayman AWAD | Hussein ABDEL-MAWGOUD | Francisco JURADO

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 4, pp.2947-2961

Document Type: Article

Publication Date: 7/2019

Document Language: English

Document ID (Org No.): 2000733872

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

Salah KAMEL | Ayman AWAD | Hussein ABDEL-MAWGOUD | Francisco JURADO

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 4, pp.2947-2961

Document Type:

Article

Publication Date:

7/2019

Document Language:

English

Document ID (Org No.):

2000733872

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632