Exponential based PSO performed on DG installation for loss minimization considering THD

This paper presents the study of an optimization technique that is developed to locate the optimal location and the size (power rating) of Distributed Generation (DG) for its installation to a distribution system. In this study, a new technique called Exponential Inertia Weight Particle Swarm Optimi...

Full description

Bibliographic Details
Published in:Proceedings of the 2014 IEEE 8th International Power Engineering and Optimization Conference, PEOCO 2014
Main Author: Ahmad N.A.; Musirin I.; Sulaiman S.I.
Format: Conference paper
Language:English
Published: IEEE Computer Society 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901332287&doi=10.1109%2fPEOCO.2014.6814500&partnerID=40&md5=d26202d59831bbd86c842217f8e7d69d
id 2-s2.0-84901332287
spelling 2-s2.0-84901332287
Ahmad N.A.; Musirin I.; Sulaiman S.I.
Exponential based PSO performed on DG installation for loss minimization considering THD
2014
Proceedings of the 2014 IEEE 8th International Power Engineering and Optimization Conference, PEOCO 2014


10.1109/PEOCO.2014.6814500
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901332287&doi=10.1109%2fPEOCO.2014.6814500&partnerID=40&md5=d26202d59831bbd86c842217f8e7d69d
This paper presents the study of an optimization technique that is developed to locate the optimal location and the size (power rating) of Distributed Generation (DG) for its installation to a distribution system. In this study, a new technique called Exponential Inertia Weight Particle Swarm Optimization is proposed where a new exponential driver is introduced in standard Particle Swarm Optimization (PSO). It was tested on IEEE 10 bus radial distribution system. The result is then compared with the result from Artificial Immune System (AIS). The objective is to minimize overall system power loss and improving bus voltage profile (Vm). The proposed optimization technique is developed under MATLAB programming. Test results indicate that EIPSO can reduce the total system loss and improve the voltage profile better than AIS for the distribution system under various loading conditions. To display the presence of harmonics, the developed EIPSO was integrated with Fast Fourier Transform (FFT) harmonic load flow algorithm. © 2014 IEEE.
IEEE Computer Society

English
Conference paper

author Ahmad N.A.; Musirin I.; Sulaiman S.I.
spellingShingle Ahmad N.A.; Musirin I.; Sulaiman S.I.
Exponential based PSO performed on DG installation for loss minimization considering THD
author_facet Ahmad N.A.; Musirin I.; Sulaiman S.I.
author_sort Ahmad N.A.; Musirin I.; Sulaiman S.I.
title Exponential based PSO performed on DG installation for loss minimization considering THD
title_short Exponential based PSO performed on DG installation for loss minimization considering THD
title_full Exponential based PSO performed on DG installation for loss minimization considering THD
title_fullStr Exponential based PSO performed on DG installation for loss minimization considering THD
title_full_unstemmed Exponential based PSO performed on DG installation for loss minimization considering THD
title_sort Exponential based PSO performed on DG installation for loss minimization considering THD
publishDate 2014
container_title Proceedings of the 2014 IEEE 8th International Power Engineering and Optimization Conference, PEOCO 2014
container_volume
container_issue
doi_str_mv 10.1109/PEOCO.2014.6814500
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901332287&doi=10.1109%2fPEOCO.2014.6814500&partnerID=40&md5=d26202d59831bbd86c842217f8e7d69d
description This paper presents the study of an optimization technique that is developed to locate the optimal location and the size (power rating) of Distributed Generation (DG) for its installation to a distribution system. In this study, a new technique called Exponential Inertia Weight Particle Swarm Optimization is proposed where a new exponential driver is introduced in standard Particle Swarm Optimization (PSO). It was tested on IEEE 10 bus radial distribution system. The result is then compared with the result from Artificial Immune System (AIS). The objective is to minimize overall system power loss and improving bus voltage profile (Vm). The proposed optimization technique is developed under MATLAB programming. Test results indicate that EIPSO can reduce the total system loss and improve the voltage profile better than AIS for the distribution system under various loading conditions. To display the presence of harmonics, the developed EIPSO was integrated with Fast Fourier Transform (FFT) harmonic load flow algorithm. © 2014 IEEE.
publisher IEEE Computer Society
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
_version_ 1809677912987664384